Data Scientist I Plano, Texas;Charlotte, North Carolina Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. Were devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us Job Description: This job is responsible for analyzing and interpreting large datasets to uncover potential revenue generation opportunities and develop effective risk management strategies. Key responsibilities include collaborating with key stakeholders to comprehend business problems, utilizing data gathering and analysis techniques to devise solutions, and presenting recommendations based on the findings. Job expectations include demonstrating flexibility, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. Responsibilities: Performs business analytics, which includes data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to support decision-making and drive data-driven insights Applies agile practices for project management, solution development, deployment, and maintenance Creates and maintains technical documentation, capturing the business requirements and specifications related to the developed analytical solution and its implementation in production Manages multiple priorities and maintains quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment Delivers engaging presentations and engages in both in-person and virtual conversations that effectively communicate technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables Mitigates risk by identifying potential issues and developing controls Researches the latest advances in the fields of data science and artificial intelligence to support business analytics Skills: Adaptability Attention to Detail Business Analytics Technical Documentation Written Communications Agile Practices Application Development Collaboration Data Visualization DevOps Practices Artificial Intelligence/Machine Learning Networking Policies, Procedures, and Guidelines Management Presentation Skills Risk Management Global Risk Analytics (GRA) and Enterprise Independent Testing (EIT) are sub-lines of business within Global Risk Management (GRM). Collectively, they are responsible for developing a consistent and coherent set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across Bank of America. GRA and EIT partner with the Lines of Business and Enterprise functions to ensure the capabilities it builds address both internal and regulatory requirements, and are responsive to the changing nature of portfolios, economic conditions, and emerging risks. In executing its activities, GRA and EIT drive innovation, process improvement and automation. The Data Science for Technology, Risk and Operations (DSTRO) team, a sub-line of business within GRA, is responsible for developing, enhancing and maintaining the Enterprise Information Products (EIPs) dataset. Additionally, DSTRO leverages artificial intelligence to enhance the efficiency and effectiveness of Enterprise Information Testing (EIT) and oversees the development of Natural Language Processing (NLP) solutions. The team is also dedicated to advancing Data Science and Artificial Intelligence (AI) capabilities and execution within GRA, working closely with Global Technology, Global Operations, Model Risk Management, and the AI Policy, Strategy, and Governance teams to establish a robust operational framework for both vendor and internal technology and operations models. The Team: We are the Model Development Executive Support team within Data Science for Technology, Risk and Operations (DSTRO) within the Global Risk Analytics organization. We support certain organizations as they develop models. Job Description: The role is to work with Model Development/Stakeholders to understand their models and to work with them in partnership to review required model documentation with the goal to improve the quality/content of the document to enable a quicker/smoother Model Approval. You will work as an individual contributor within the document review team to handle requests for document review. You will review the document, add comments and feedback and work with the author in a timely manner to progress the document to the approval phase. Required Skills: Artificial Intelligence/Model Development Highly proficient in Model Technical Documentation Proficient in written and verbal communications Strong track record of partnering and finding common ground Eager to work with more junior model developers to help mentor Comfortable working in a dynamic, fast paced environment (Adaptability) Excellent with Presentation Skills and Proficient in using Data Visualization A focus on Risk Management Has worked with Policies, Procedures, and Guidelines Management Comfortable and happy to leverage Workforce Diversity Management Desired Skills: Prior experience working as a Model Validator Prior experience working as a Data Scientist Prior experience working with teammates/customers across the globe Proficient in Business Acumen Attention to details Being well organized Shift: 1st shift (United States of America) Hours Per Week: 40 Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates. To view the "EEO is the Law" poster, CLICK HERE (https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) . To view the "EEO is the Law" Supplement, CLICK HERE (https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf) . View the LA County Fair Chance Ordinance (https://dcba.lacounty.gov/wp-content/uploads/2024/08/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf) . Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy (Policy) establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment. To view Bank of Americas Drug-free Workplace and Alcohol Policy, CLICK HERE . This communication provides information about certain Bank of America benefits. Receipt of this document does not automatically entitle you to benefits offered by Bank of America. Every effort has been made to ensure the accuracy of this communication. However, if there are discrepancies between this communication and the official plan documents, the plan documents will always govern. Bank of America retains the discretion to interpret the terms or language used in any of its communications according to the provisions contained in the plan documents. Bank of America also reserves the right to amend or terminate any benefit plan in its sole discretion at any time for any reason.

Data Scientist II - Product Owner New York, New York;Charlotte, North Carolina **Job Description:** At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. Were devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! **Job Description Details:** **The Data and AI team within Global Payment Solutions at Bank of America** is looking for a Data Science Product Owner (DSPO) that is a self-starter who can translate complex concepts and generate actionable insights. Who we are: The GPS Data and AI team drives and powers innovation within the one of the largest payment businesses in the world. We act as data science consultants to our business partners and clients across the organization, building end-to-end production level solutions at scale. At the core, the team is a collection of individuals that welcomes challenging problems, because that is where the learning begins. For many of our projects, we begin by hosting think tank like sessions with business teams to brainstorm and pinpoint opportunities where we can create traceable value through data and AI. Once a problem is sculpted and the solution framework is developed, we get together as a team and build. What were building: The data science team (within GPS) is working on more than five projects that are driving/will drive significant impact across the GTS business. Some examples include: + A revolutionary approach leveraging advanced statistical methods to identify the best product a client would likely want to hear about to increase their treasury efficiency + A Generative AI powered chatbot-like search platform that enables sales and product teams to quickly find high quality answers to product, servicing, and client related questions + A comprehensive AI model that helps to move foreign currency conversion up the payment stream and away from the beneficiary banks + Applying advanced NLP techniques to generate near real-time insights into what clients are reaching out to servicing teams about, providing servicing teams with constant information on how they can better serve clients Who were looking for: If you are passionate about working in cross-functional teams and utilizing your skills for technical product management, statistical analytics, predictive modeling, and generating revenue, consider applying to this role. You will be responsible for a variety of challenging projects that require constant communication and collaboration with data engineers, data scientists and other internal teams. Utilizing extensive business and programming knowledge, you will help to tackle a variety of machine learning problems ranging from recommendation systems, stochastic optimization, and time series forecasting. You will also implement A/B testing and research emerging technologies, among other day-to-day duties. **Responsibilities:** We are a small team working towards massive goals. You will be responsible for wearing many hats: + **Data Scientist** Deep expertise in data science frameworks and methodologies + **Product Owner** Translate core business needs and drive requirements and design; Validate and test to ensure solution meets requirement/design + **Project Manager** Drive a project through to completion end to end; coordinate and manage all necessary teams / leads to drive forward progress while managing project and solution risks + **Product Manager** Work and communicate with stakeholders to understand core business needs **Additional Responsibilities:** + Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions + You will impact how teams strategically collaborate to drive the company forward and help create the future of data science within GPS + As the DSPO, you will be responsible for the success and improvement of the tools that support development, research, and data science in GPS (the "products"), help set long-term vision and strategy for selective products, and collaborate with Data Scientists to meet the needs of the "users" + You will collect information on the Data Science teams requirements through surveys, conversations, feedback sessions, and automated reporting + You will work closely with Data Scientists to set technical strategy and prioritize development work + Drive projects through to completion end to end following core principles of product development lifecycle and project management methodologies **Required Qualifications:** + Minimum of product management or consulting experience working in a highly technical environment + Extensive experience with Excel and PowerPoint and an insatiable curiosity to understand how things work + Solid understanding of data structures and algorithms with substantial Python experience + Understanding of how to frame a data science problem and a high level understanding of key machine learning algorithms (KMeans, boosting / bagging models, etc.) + Take feedback and transform it into strategic action. **Desired Qualifications:** + Data visualization tools experience, such as D3.js, GGplot, and Matplotlib + Graduate level degree in a quantitative field such as, computer science, math, and physics **Minimum Education Requirements:** Bachelors degree in a quantitative field such as: computer science, math, and physics with coursework in data science or equivalent work experience. **Skills:** + Verbal Communication Skills + Technical Design Skills + Documentation Skills + Critical Thinking Skills **Shift:** 1st shift (United States of America) **Hours Per Week:** 40 **Pay Transparency details** US - NY - New York - ONE BRYANT PARK - BANK OF AMERICA TOWER (NY1100) Pay and benefits information Pay range $125,000.00 - $246,200.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company. Benefits This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve. Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates. To view the "EEO is the Law" poster, CLICK HERE (https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) . To view the "EEO is the Law" Supplement, CLICK HERE (https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf) . View the LA County Fair Chance Ordinance (https://dcba.lacounty.gov/wp-content/uploads/2024/08/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf) . Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy (Policy) establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment. To view Bank of Americas Drug-free Workplace and Alcohol Policy, CLICK HERE . This communication provides information about certain Bank of America benefits. Receipt of this document does not automatically entitle you to benefits offered by Bank of America. Every effort has been made to ensure the accuracy of this communication. However, if there are discrepancies between this communication and the official plan documents, the plan documents will always govern. Bank of America retains the discretion to interpret the terms or language used in any of its communications according to the provisions contained in the plan documents. Bank of America also reserves the right to amend or terminate any benefit plan in its sole discretion at any time for any reason.

Assistant Vice President; Data Scientist
Houston, Texas
**Job Description:**
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.
One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. Were devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.
Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.
Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!
**Responsibilities**
+ Develop and enhance operation of data products that provide benefit to key analytic and regulatory stakeholders.
+ Enable analysis, model, and optimization through producing information products.
+ Ensure high level of quality in data products through careful attention to detail and curiosity about data anomalies.
+ Communicate findings, gaps, and opportunities to all levels of the organization.
+ Support the creation of sophisticated, value-added analytic systems that support revenue generation, risk management, operational efficiency, regulatory compliance, portfolio management, and research.
+ Utilize SQL to curate large volumes of data, perform statistical analysis and data engineering.
+ Utilize Tableau, matplotlib, seaborn, and powerBI to create intricate and insightful visualizations from large datasets, enabling stakeholders to make data-driven decisions effectively.
+ Conduct advanced analyses on large volumes of data to identify patterns, trends, and anomalies, providing valuable insights to inform strategic decision-making processes for business stakeholders.
+ Employ data preparation tools to cleanse, transform, and integrate diverse datasets from multiple sources, ensuring data accuracy and consistency for sophisticated analytics.
+ Apply advanced statistical techniques of classification and regression to extract meaningful insights from complex datasets and drive strategic decision-making processes.
+ Remote work may be permitted within a commutable distance from the worksite.
**Required Skills & Experience**
+ Master's degree or equivalent in Statistics, Mathematics, Data Science, or related; and
+ 2 years of experience in the job offered or a related quantitative occupation.
+ Must include 2 years of experience in each of the following:
+ Utilizing SQL to curate large volumes of data, perform statistical analysis and data engineering;
+ Utilizing Tableau, matplotlib, seaborn, and powerBI to create intricate and insightful visualizations from large datasets, enabling stakeholders to make data-driven decisions effectively;
+ Conducting advanced analyses on large volumes of data to identify patterns, trends, and anomalies, providing valuable insights to inform strategic decision-making processes for business stakeholders;
+ Employing data preparation tools to cleanse, transform, and integrate diverse datasets from multiple sources, ensuring data accuracy and consistency for sophisticated analytics; and,
+ Applying advanced statistical techniques of classification and regression to extract meaningful insights from complex datasets and drive strategic decision-making processes.
+ The employer will accept pre- or post- Master's degree experience.
If interested apply online at www.bankofamerica.com/careers or email your resume to bofajobs@bofa.com and reference the job title of the role and requisition number.
**Salary:** $118,500 - $142,800 per year.
**Employer:** Bank of America N.A.
**Shift:**
1st shift (United States of America)
**Hours Per Week:**
40
Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.
To view the "EEO is the Law" poster, CLICK HERE (https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) .
To view the "EEO is the Law" Supplement, CLICK HERE (https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf) .
View the LA County Fair Chance Ordinance (https://dcba.lacounty.gov/wp-content/uploads/2024/08/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf) .
Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy (Policy) establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment.
To view Bank of Americas Drug-free Workplace and Alcohol Policy, CLICK HERE .
This communication provides information about certain Bank of America benefits. Receipt of this document does not automatically entitle you to benefits offered by Bank of America. Every effort has been made to ensure the accuracy of this communication. However, if there are discrepancies between this communication and the official plan documents, the plan documents will always govern. Bank of America retains the discretion to interpret the terms or language used in any of its communications according to the provisions contained in the plan documents. Bank of America also reserves the right to amend or terminate any benefit plan in its sole discretion at any time for any reason.

Assistant Vice President; Data Scientist Houston, Texas **Job Description:** At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. Were devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! **Responsibilities** + Develop and enhance operation of data products that provide benefit to key analytic and regulatory stakeholders. + Enable analysis, model, and optimization through producing information products. + Ensure high level of quality in data products through careful attention to detail and curiosity about data anomalies. + Communicate findings, gaps, and opportunities to all levels of the organization. + Support the creation of sophisticated, value-added analytic systems that support revenue generation, risk management, operational efficiency, regulatory compliance, portfolio management, and research. + Utilize SQL to curate large volumes of data, perform statistical analysis and data engineering. + Utilize Tableau, matplotlib, seaborn, and powerBI to create intricate and insightful visualizations from large datasets, enabling stakeholders to make data-driven decisions effectively. + Conduct advanced analyses on large volumes of data to identify patterns, trends, and anomalies, providing valuable insights to inform strategic decision-making processes for business stakeholders. + Employ data preparation tools to cleanse, transform, and integrate diverse datasets from multiple sources, ensuring data accuracy and consistency for sophisticated analytics. + Apply advanced statistical techniques of classification and regression to extract meaningful insights from complex datasets and drive strategic decision-making processes. + Remote work may be permitted within a commutable distance from the worksite. **Required Skills & Experience** + Master's degree or equivalent in Statistics, Mathematics, Data Science, or related; and + 2 years of experience in the job offered or a related quantitative occupation. + Must include 2 years of experience in each of the following: + Utilizing SQL to curate large volumes of data, perform statistical analysis and data engineering; + Utilizing Tableau, matplotlib, seaborn, and powerBI to create intricate and insightful visualizations from large datasets, enabling stakeholders to make data-driven decisions effectively; + Conducting advanced analyses on large volumes of data to identify patterns, trends, and anomalies, providing valuable insights to inform strategic decision-making processes for business stakeholders; + Employing data preparation tools to cleanse, transform, and integrate diverse datasets from multiple sources, ensuring data accuracy and consistency for sophisticated analytics; and, + Applying advanced statistical techniques of classification and regression to extract meaningful insights from complex datasets and drive strategic decision-making processes. + The employer will accept pre- or post- Master's degree experience. If interested apply online at www.bankofamerica.com/careers or email your resume to bofajobs@bofa.com and reference the job title of the role and requisition number. **Salary:** $118,500 - $142,800 per year. **Employer:** Bank of America N.A. **Shift:** 1st shift (United States of America) **Hours Per Week:** 40 Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates. To view the "EEO is the Law" poster, CLICK HERE (https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) . To view the "EEO is the Law" Supplement, CLICK HERE (https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf) . View the LA County Fair Chance Ordinance (https://dcba.lacounty.gov/wp-content/uploads/2024/08/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf) . Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy (Policy) establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment. To view Bank of Americas Drug-free Workplace and Alcohol Policy, CLICK HERE . This communication provides information about certain Bank of America benefits. Receipt of this document does not automatically entitle you to benefits offered by Bank of America. Every effort has been made to ensure the accuracy of this communication. However, if there are discrepancies between this communication and the official plan documents, the plan documents will always govern. Bank of America retains the discretion to interpret the terms or language used in any of its communications according to the provisions contained in the plan documents. Bank of America also reserves the right to amend or terminate any benefit plan in its sole discretion at any time for any reason.

Data Scientist I

Charlotte, North Carolina;Chicago, Illinois; Atlanta, Georgia

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

Overview of Global Risk Analytics

Bank of America Merrill Lynch has an opportunity for a Data Scientist within our Global Risk Analytics (GRA) function. GRA is a sub-line of business within Global Risk Management (GRM). GRA is responsible for developing a consistent and coherent set of models and analytical tools for effective risk and capital measurement, management and reporting across Bank of America. GRA partners with the Lines of Business and Enterprise functions to ensure that its models and analytics address both internal and regulatory requirements, such as quarterly Enterprise Stress Testing (EST), the annual Comprehensive Capital Analysis and Review (CCAR), and the Current Expected Credit Losses (CECL) accounting standard. GRA models follow an iterative and ongoing development life cycle, as the bank responds to the changing nature of portfolios, economic conditions and emerging risks. In addition to model development, GRA conducts model implementation, data management, model execution and analysis, forecast administration, and model performance monitoring. GRA drives innovation, process improvement, and automation across all of these activities.

Overview of Consumer Risk

Consumer Risk is primarily responsible for:

• Oversight and delivery of key regulatory reviews such as the Current Expected Credit Losses (CECL) accounting standard and the Comprehensive Capital Analysis & Review (CCAR), as well as other strategic initiatives, including data and infrastructure development and maintenance

• Planning and delivery of a coherent model risk management framework and infrastructure across Consumer. These efforts include the development of one universal platform for seamless model development and implementation, and improvements to the quality and consistency of the data sourced for all development and production purposes

• Developing and maintaining risk and capital models and model systems across Consumer product lines. Models and model systems provide insight into various risk areas, including loan default, exposure at default (EAD), loss given default (LGD), delinquency, prepayment, balances, pricing, risk appetite, revenues and cash flows

• Developing and implementing quantitative solutions on strategic Consumer Risk platforms. Outputs include GRA libraries that perform consumer risk model calculations, analytical tools, processes and documentation

• Conducts research and analysis to improve understanding and assessment of loan portfolios, models used, and forecast results

• Partners with Consumer lines of business, and front line Risk, Allowance, and Finance teams to ensure consistency and appropriateness of the team’s various processes

Overview of the Role

As a Data Scientist on the Consumer Risk team, your main responsibilities will include:

• Managing a portfolio of data intensive operational processes that span multiple complex technologies and infrastructures

• Building and running operational processes, across large complex multi-sourced data, often on a wide range of quantitative models using applications and coding based solutions

• Managing and monitoring controls across model execution and / or the sourcing and provisioning of complex data for multiple end-users

• Managing cycle-over-cycle executions and shaping the strategic direction of operations in a highly regulated environment

• Interacting with multiple stakeholders to drive consistent on-time delivery of well-considered and thorough solutions, often with short delivery times

• Leveraging technical skills to improve, enhance, and automate existing processes

• Providing regular updates to various stakeholders and senior leaders

Responsibilities:

Performs business analytics, which includes data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to support decision-making and drive data-driven insights

Applies agile practices for project management, solution development, deployment, and maintenance

Creates and maintains technical documentation, capturing the business requirements and specifications related to the developed analytical solution and its implementation in production

Manages multiple priorities and maintains quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment

Delivers engaging presentations and engages in both in-person and virtual conversations that effectively communicate technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables

Mitigates risk by identifying potential issues and developing controls

Researches the latest advances in the fields of data science and artificial intelligence to support business analytics

Skills:

Adaptability

Attention to Detail

Business Analytics

Technical Documentation

Written Communications

Agile Practices

Application Development

Collaboration

Data Visualization

DevOps Practices

Artificial Intelligence/Machine Learning

Networking

Policies, Procedures, and Guidelines Management

Presentation Skills

Risk Management

Required Skills

• Masters’ degree in a quantitative discipline

• 2+ years of experience in model development, model validation, statistical work, data analytics or quantitative research, or PhD

Ability to manage and deliver:

• Cycle-over-cycle operational processes across data provisioning, model execution, and model performance monitoring

• Close collaboration with change agents driving operational excellence through strategic change

• Process execution while complying with various policies and regulations

• Code development and programming with tools such as Python, PySpark, SQL, Hadoop, Hive

• Additional experience with Unix/Linux, Shell Scripting, and SAS a plus

Strong operations management skills and techniques, including:

• Proficiency in the management of the full project life cycle – from inception to full technical and process implementation

• Proficiency in operating in a business and technical environment

Demonstrated personal qualities including:

• Strong understanding of process controls and safeguards

• Confident self-starter

• Quick learner and intellectually curious

• Strong communication skills, both oral and written

• Strong team player, able to lead and follow

• Strong influencing skills

Desired Skills

• Experience working for a financial institution; knowledge of retail banking products, services, processes, and systems

• Knowledge of model development / model implementation lifecycle

• Experience with data analytics / software development lifecycle tools (i.e. Alteryx, Tableau, Horizon / JIRA, etc.)

• Ability to deliver large scale projects involving changes to analytical processes, quantitative models, complex technology platforms, and analytical tools

Key Role Performance Measures

• Anticipation – Aware of downstream and upstream processes, pre-empts issues, acts on the front foot

• Analysis – Understands results, has instinct for errors/anomalies, can contextualize easily

• Adoption – Agent for change, creates plans, inventive, tests well, measures twice cuts once

• Adaptiveness – Reacts well to variation or curve balls, has versatility and applies solutions appropriately, not only identifies / anticipates road blocks but knows how to solve for them

• Articulation – Clear structured thorough communication, able to tailor messaging for a varied audience, can express things in different ways, uses communication to influence and get buy-in

• Application – Delivers results, understands the objectives and executes flawlessly, requires little hand holding, is consistent in delivery

• Adjudication – Management skills, judges and measures performance well, spots / recruits talent, can train / nurture / develop talent

• Alliance – Works as a team internally and externally, forges trusted relationships, is respectful / empathetic / flexible to others, delivers together with collaboration

• Accountability – Can set success criteria, develop metrics/measurement techniques well, identify the need and build and operate to SLAs, always aware of "how we are doing"

• Authority – Commands respect through thought / articulation / delivery, is seen as a leader, can influence others and take them on a journey, resolves conflict without tension or contention

Shift:

1st shift (United States of America)

Hours Per Week:

40

Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.

To view the "EEO is the Law" poster, CLICK HERE (https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) .

To view the "EEO is the Law" Supplement, CLICK HERE (https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf) .

View the LA County Fair Chance Ordinance (https://dcba.lacounty.gov/wp-content/uploads/2024/08/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf) .

Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy (“Policy”) establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment.

To view Bank of America’s Drug-free Workplace and Alcohol Policy, CLICK HERE .

This communication provides information about certain Bank of America benefits. Receipt of this document does not automatically entitle you to benefits offered by Bank of America. Every effort has been made to ensure the accuracy of this communication. However, if there are discrepancies between this communication and the official plan documents, the plan documents will always govern. Bank of America retains the discretion to interpret the terms or language used in any of its communications according to the provisions contained in the plan documents. Bank of America also reserves the right to amend or terminate any benefit plan in its sole discretion at any time for any reason.

Data Scientist I

Plano, Texas;Charlotte, North Carolina

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

Job Description:

This job is responsible for analyzing and interpreting large datasets to uncover potential revenue generation opportunities and develop effective risk management strategies. Key responsibilities include collaborating with key stakeholders to comprehend business problems, utilizing data gathering and analysis techniques to devise solutions, and presenting recommendations based on the findings. Job expectations include demonstrating flexibility, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise.

Responsibilities:

Performs business analytics, which includes data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to support decision-making and drive data-driven insights

Applies agile practices for project management, solution development, deployment, and maintenance

Creates and maintains technical documentation, capturing the business requirements and specifications related to the developed analytical solution and its implementation in production

Manages multiple priorities and maintains quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment

Delivers engaging presentations and engages in both in-person and virtual conversations that effectively communicate technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables

Mitigates risk by identifying potential issues and developing controls

Researches the latest advances in the fields of data science and artificial intelligence to support business analytics

Skills:

Adaptability

Attention to Detail

Business Analytics

Technical Documentation

Written Communications

Agile Practices

Application Development

Collaboration

Data Visualization

DevOps Practices

Artificial Intelligence/Machine Learning

Networking

Policies, Procedures, and Guidelines Management

Presentation Skills

Risk Management

Global Risk Analytics (GRA) and Enterprise Independent Testing (EIT) are sub-lines of business within Global Risk Management (GRM). Collectively, they are responsible for developing a consistent and coherent set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across Bank of America. GRA and EIT partner with the Lines of Business and Enterprise functions to ensure the capabilities it builds address both internal and regulatory requirements, and are responsive to the changing nature of portfolios, economic conditions, and emerging risks. In executing its activities, GRA and EIT drive innovation, process improvement and automation.

The Data Science for Technology, Risk and Operations (DSTRO) team, a sub-line of business within GRA, is responsible for developing, enhancing and maintaining the Enterprise Information Products (EIPs) dataset. Additionally, DSTRO leverages artificial intelligence to enhance the efficiency and effectiveness of Enterprise Information Testing (EIT) and oversees the development of Natural Language Processing (NLP) solutions. The team is also dedicated to advancing Data Science and Artificial Intelligence (AI) capabilities and execution within GRA, working closely with Global Technology, Global Operations, Model Risk Management, and the AI Policy, Strategy, and Governance teams to establish a robust operational framework for both vendor and internal technology and operations models.

The Team:

We are the Model Development Executive Support team within Data Science for Technology, Risk and Operations (DSTRO) within the Global Risk Analytics organization. We support certain organizations as they develop models.

Job Description:

The role is to work with Model Development/Stakeholders to understand their models and to work with them in partnership to review required model documentation with the goal to improve the quality/content of the document to enable a quicker/smoother Model Approval.

You will work as an individual contributor within the document review team to handle requests for document review. You will review the document, add comments and feedback and work with the author in a timely manner to progress the document to the approval phase.

Required Skills:

• Artificial Intelligence/Model Development

• Highly proficient in Model Technical Documentation

• Proficient in written and verbal communications

• Strong track record of partnering and finding common ground

• Eager to work with more junior model developers to help mentor

• Comfortable working in a dynamic, fast paced environment (Adaptability)

• Excellent with Presentation Skills and Proficient in using Data Visualization

• A focus on Risk Management

• Has worked with Policies, Procedures, and Guidelines Management

• Comfortable and happy to leverage Workforce Diversity Management

Desired Skills  :

• Prior experience working as a Model Validator

• Prior experience working as a Data Scientist

• Prior experience working with teammates/customers across the globe

• Proficient in Business Acumen

• Attention to details

• Being well organized

Shift:

1st shift (United States of America)

Hours Per Week:

40

Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.

To view the "EEO is the Law" poster, CLICK HERE (https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) .

To view the "EEO is the Law" Supplement, CLICK HERE (https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf) .

View the LA County Fair Chance Ordinance (https://dcba.lacounty.gov/wp-content/uploads/2024/08/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf) .

Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy (“Policy”) establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment.

To view Bank of America’s Drug-free Workplace and Alcohol Policy, CLICK HERE .

This communication provides information about certain Bank of America benefits. Receipt of this document does not automatically entitle you to benefits offered by Bank of America. Every effort has been made to ensure the accuracy of this communication. However, if there are discrepancies between this communication and the official plan documents, the plan documents will always govern. Bank of America retains the discretion to interpret the terms or language used in any of its communications according to the provisions contained in the plan documents. Bank of America also reserves the right to amend or terminate any benefit plan in its sole discretion at any time for any reason.

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Data Scientist Bank Of America Merrill Lynch Jobs

Data Scientist IDecember 8, 2024

Data Scientist Ii Product OwnerDecember 4, 2024

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Data Scientist Ii Product OwnerNovember 29, 2024

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