At Customers Bank, we believe in working hard, working smart, working together to deliver memorable customer experiences and having fun. Our vision, mission, and values guide us along our path to achieve excellence. Passion, attitude, creativity, integrity, alignment, and execution are cornerstones of our behaviors. They define who we are as an organization and as individuals. Everyone is encouraged to have personal development plans. By doing so, our team members are on their way to achieve their highest potential and be successful in their personal and professional lives.

Work Location:  Hybrid in Malvern or West Reading, PA., coming into the office at least 3-days per week with Monday, Tuesday, and Thursday being the set in-office days. If within a 50-mile radius of a Customers Bank location, the expectation is to be hybrid. All subject to change.

Must be legally eligible to work in the United States without sponsorship, now or in the future, to be considered.

Who is Customers Bank?

Founded in 2009, Customers Bank is a super-community bank with over $22 billion in assets. We believe in dedicated personal service for the businesses, professionals, individuals, and families we work with.

We get you further, faster.

Focused on you:  We provide every customer with a single point of contact. A dedicated team member who's committed to meeting your needs today and tomorrow.

On the leading edge:  We're innovating with the latest tools and technology so we can react to market conditions quicker and help you get ahead.

Proven reliability:  We always ground our innovation in our deep experience and strong financial foundation, so we're a partner you can trust.

What You'll Do:

We are looking for talented  AML Technology Developers/Data Scientists  to support the design and tuning of transaction monitoring scenarios. In this role, you will work alongside the AML Technology Manager to enhance the organization's ability to detect and prevent financial crimes, utilizing the latest in data science and compliance technologies.

Key Responsibilities:

Assist in the development and tuning of transaction monitoring scenarios for AML compliance.
Utilize data science techniques to analyze and improve the efficiency of AML transaction monitoring systems.
Build models to detect suspicious activities and continuously improve transaction monitoring rules.
Collaborate with the AML Technology Manager and compliance teams to integrate and implement new technologies for financial crime prevention.
Stay updated on new tools and techniques in financial crime compliance and make recommendations for system enhancements.
Develop dashboards and reports that provide insights into transaction monitoring performance.
What Do You Need?     Bachelor's degree in computer science, data science, or a related field.
5 - 7 years of experience in AML technology or a related field.
Strong programming skills (Python, SQL, or similar languages) and experience in data modeling and analysis.
Experience with AML transaction monitoring tools and technologies.
Knowledge of machine learning and data science techniques is preferred.
Ability to work collaboratively with cross-functional teams.
Technology Skills:     Ability to work with the Microsoft Suite and learn/work with other Customers Bank's applications.

Customers Bank is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

We also provide "reasonable accommodations", upon request, to qualified individuals with disabilities, in accordance with the Americans with Disabilities Act and applicable state and local laws.

Diversity Statement:

At Customers Bank, we believe in working smart, working together, and having fun while delivering innovative solutions and memorable experiences for our customers. We are committed to the continual advancement of a culture which reflects the value we place on diversity, equity, and inclusion. We honor the diverse experiences, perspectives, and identities of our team members, and we recognize that it is their passion, creativity, and integrity that drives our success. Step into your future with us! Let's take on tomorrow.

Overview:

This is a hybrid role - 2 days remote and 3 days in the Malvern, PA office.
The Senior Data Scientist plays a critical role within the Data Science team, driving advanced analytics, machine learning, and predictive modeling initiatives. This role focuses on developing strategic models and solutions to optimize business operations, enhance customer experience, and maximize revenue. The Senior Data Scientist must possess deep technical expertise as they will play a critical role in shaping the data science strategy. The Senior Data Scientist will collaborate closely with cross-functional teams, providing leadership in analytical projects while remaining hands-on with coding and model development.

Who We Are:
At CubeSmart, were intentional about culture. You can experience it everywhere from our mission statement of genuine care to our Its Whats Inside That Counts tagline to calling each other teammates rather than employees. This spirit fosters a fun and collaborative environment that has resulted in our rapid growth and being recognized amongst the top in our industry.
CubeSmarts award-winning team is made up of people who genuinely care. Teammates care about our customers and the life events and/or business needs they are facing. Teammates are passionate, responsible, and understanding. The CubeSmart team is made up of people who have a can-do attitude, are committed to their own success and the success of the company, and lead by example. If this sounds like a team and culture that matches your personal values and motivations, we want to hear from you.
Responsibilities:
Advanced Analytics and Modeling
Develop and implement advanced analytics and machine learning models to solve complex business problems.
Oversee the design and execution of predictive models for customer segmentation, pricing strategies, and inventory management.
Provide expert guidance on the theoretical foundations of statistical models and machine learning techniques, ensuring the selection of appropriate methods is grounded in a deep understanding of the problem context, underlying assumptions, and potential trade-offs.
Ensure the accuracy, quality, and scalability of data science solutions.
Strategic Collaboration
Work with cross-functional teams, including marketing, operations, investments, and finance, to identify data-driven opportunities.
Provide actionable insights and recommendations to senior leadership based on analytical findings.
Lead projects aimed at optimizing business operations, improving customer experience, and increasing revenue.
Experimentation and Testing
Design and implement testing and experimentation strategies, including A/B testing and controlled experiments.
Analyze results from experiments to measure the effectiveness of business strategies.
Develop guidelines and best practices for consistent and reliable experimentation results.
Data Infrastructure and Governance
Collaborate with IT and data engineering teams to ensure data infrastructure is reliable and scalable.
Establish and maintain data governance practices to ensure data quality, consistency, and security.
Advocate for best practices in data management.
Leadership and Mentorship
Mentor junior data scientists, providing guidance on best practices and technical problem-solving.
Foster a collaborative and innovative team culture, promoting continuous learning and professional development.
Communication and Stakeholder Management
Communicate complex analytical concepts and insights to non-technical stakeholders, including executives.
Develop and deliver presentations, reports, and dashboards to convey data-driven insights.
Build and maintain strong relationships with internal stakeholders to understand their needs and provide tailored data science solutions.
Qualifications:
Masters degree or Ph.D. in Economics, Data Science, Statistics, Mathematics, or a related field.
Minimum of 5 years of experience in data science, analytics, or a related field.
Proven track record in developing and deploying machine learning models and advanced analytics solutions.
Proficiency in programming languages such as Python and SQL, and big data technologies like Databricks.
Strong problem-solving skills and strategic thinking ability.
Excellent communication skills for explaining technical concepts to non-technical audiences.
Strong interpersonal skills for building relationships with stakeholders.
Work Environment

Join us at CubeSmart, and you will:
Be part of a leading REIT recognized for its data-driven innovations and ranked among the top 50 Best Companies to Work for in North America.
Collaborate within a large, diverse analytics team tackling a wide range of projects including market research, predictive and prescriptive analytics, marketing, pricing, revenue management, and more.
Work on impactful projects that span across strategic investment, marketing, pricing, sales, operations, and customer service, driving real business outcomes.
Receive opportunities for professional and personal growth, enhancing your skills and career trajectory.
Interact with both internal stakeholders and external partners to gather and analyze customer and operational data, enriching our business insights.
Lead and guide project teams towards successful outcomes, from planning and design to implementation, making strategic decisions based on data and analytics.
Mentor and provide leadership to junior data scientists, contributing to our collective success and operational excellence.
We are an Equal Opportunity Employer,  Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
#LI-MT1
#LI-Hyrbid
#LI-MT1

Overview: This is a hybrid role - 2 days remote and 3 days in the Malvern, PA office.
The Senior Data Scientist plays a critical role within the Data Science team, driving advanced analytics, machine learning, and predictive modeling initiatives. This role focuses on developing strategic models and solutions to optimize business operations, enhance customer experience, and maximize revenue. The Senior Data Scientist must possess deep technical expertise as they will play a critical role in shaping the data science strategy. The Senior Data Scientist will collaborate closely with cross-functional teams, providing leadership in analytical projects while remaining hands-on with coding and model development. Who We Are:
At CubeSmart, were intentional about culture. You can experience it everywhere from our mission statement of genuine care to our Its Whats Inside That Counts tagline to calling each other teammates rather than employees. This spirit fosters a fun and collaborative environment that has resulted in our rapid growth and being recognized amongst the top in our industry.
CubeSmarts award-winning team is made up of people who genuinely care. Teammates care about our customers and the life events and/or business needs they are facing. Teammates are passionate, responsible, and understanding. The CubeSmart team is made up of people who have a can-do attitude, are committed to their own success and the success of the company, and lead by example. If this sounds like a team and culture that matches your personal values and motivations, we want to hear from you.
Responsibilities:
Advanced Analytics and Modeling
Develop and implement advanced analytics and machine learning models to solve complex business problems.
Oversee the design and execution of predictive models for customer segmentation, pricing strategies, and inventory management.
Provide expert guidance on the theoretical foundations of statistical models and machine learning techniques, ensuring the selection of appropriate methods is grounded in a deep understanding of the problem context, underlying assumptions, and potential trade-offs.
Ensure the accuracy, quality, and scalability of data science solutions.
Strategic Collaboration
Work with cross-functional teams, including marketing, operations, investments, and finance, to identify data-driven opportunities.
Provide actionable insights and recommendations to senior leadership based on analytical findings.
Lead projects aimed at optimizing business operations, improving customer experience, and increasing revenue.
Experimentation and Testing
Design and implement testing and experimentation strategies, including A/B testing and controlled experiments.
Analyze results from experiments to measure the effectiveness of business strategies.
Develop guidelines and best practices for consistent and reliable experimentation results.
Data Infrastructure and Governance
Collaborate with IT and data engineering teams to ensure data infrastructure is reliable and scalable.
Establish and maintain data governance practices to ensure data quality, consistency, and security.
Advocate for best practices in data management.
Leadership and Mentorship
Mentor junior data scientists, providing guidance on best practices and technical problem-solving.
Foster a collaborative and innovative team culture, promoting continuous learning and professional development.
Communication and Stakeholder Management
Communicate complex analytical concepts and insights to non-technical stakeholders, including executives.
Develop and deliver presentations, reports, and dashboards to convey data-driven insights.
Build and maintain strong relationships with internal stakeholders to understand their needs and provide tailored data science solutions.
Qualifications:
Masters degree or Ph.D. in Economics, Data Science, Statistics, Mathematics, or a related field.
Minimum of 5 years of experience in data science, analytics, or a related field.
Proven track record in developing and deploying machine learning models and advanced analytics solutions.
Proficiency in programming languages such as Python and SQL, and big data technologies like Databricks.
Strong problem-solving skills and strategic thinking ability.
Excellent communication skills for explaining technical concepts to non-technical audiences.
Strong interpersonal skills for building relationships with stakeholders.
Work Environment Join us at CubeSmart, and you will:
Be part of a leading REIT recognized for its data-driven innovations and ranked among the top 50 Best Companies to Work for in North America.
Collaborate within a large, diverse analytics team tackling a wide range of projects including market research, predictive and prescriptive analytics, marketing, pricing, revenue management, and more.
Work on impactful projects that span across strategic investment, marketing, pricing, sales, operations, and customer service, driving real business outcomes.
Receive opportunities for professional and personal growth, enhancing your skills and career trajectory.
Interact with both internal stakeholders and external partners to gather and analyze customer and operational data, enriching our business insights.
Lead and guide project teams towards successful outcomes, from planning and design to implementation, making strategic decisions based on data and analytics.
Mentor and provide leadership to junior data scientists, contributing to our collective success and operational excellence.
We are an Equal Opportunity Employer, Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
#LI-MT1
#LI-Hyrbid
#LI-MT1

•Provides subject matter expertise in testing bots using Kore.ai across domains (voice, web agent assist).•Expertise in testing for bots across chat, voice and agent assist.•Expertise in troubleshooting Kore.ai errors.•Expertise in verifying business requirements •Ability to lead technical testing sessions with cross-functional teams (developers, UX designers, data analysts, product owners)•Willingness to provide guidance and support as testers, data scientists, ux designers are learning this new way of working.•Provides subject matter expertise for unit and integration testing for features developed on the Kore.ai platform.•Assistance in creating runbooks and documenting production support guidelines based on experience at other firms.•Serves as a Kore technical ambassador as the Vanguard team identifies Kore defects and / or Kore feature requests.•Participates in design, code, and test inspections throughout the life cycle to identify issues. •Explains technical considerations at related meetings, including those with internal departments.•Writes and elevates code using Vanguard's SDLC tools and process.•Consults on implementation of knowledge and call summarization features, inclusive of Gen AI•Support during production incidents involving the Kore platform and features running on the platform•Provide Subject matter expertise in monitoring and telemetry tools and provide guidance in defining SLO/SLA for each bot.•Other duties as agreed to by both parties•Will work in high traffic / real-time Enterprise apps•Will be a part of Agile Methodologies, Design Patterns, and Software Revision Control Systems•Will gain experience in scaling applications and database infrastructure•Able to lead the team from technical, managerial leadership perspective•Inspire & motivate team-mates and be a cross-functional go-to-person•Implementing proofs of concept, prototypes and production-grade software Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

Overview: This is a hybrid role - 2 days remote and 3 days in the Malvern, PA office. The Senior Data Scientist plays a critical role within the Data Science team, driving advanced analytics, machine learning, and predictive modeling initiatives. This role focuses on developing strategic models and solutions to optimize business operations, enhance customer experience, and maximize revenue. The Senior Data Scientist must possess deep technical expertise as they will play a critical role in shaping the data science strategy. The Senior Data Scientist will collaborate closely with cross-functional teams, providing leadership in analytical projects while remaining hands-on with coding and model development. Who We Are: At CubeSmart, were intentional about culture. You can experience it everywhere from our mission statement of genuine care to our Its Whats Inside That Counts tagline to calling each other teammates rather than employees. This spirit fosters a fun and collaborative environment that has resulted in our rapid growth and being recognized amongst the top in our industry. CubeSmarts award-winning team is made up of people who genuinely care. Teammates care about our customers and the life events and/or business needs they are facing. Teammates are passionate, responsible, and understanding. The CubeSmart team is made up of people who have a can-do attitude, are committed to their own success and the success of the company, and lead by example. If this sounds like a team and culture that matches your personal values and motivations, we want to hear from you. Responsibilities: Advanced Analytics and Modeling <ul> <li>Develop and implement advanced analytics and machine learning models to solve complex business problems. </li><li>Oversee the design and execution of predictive models for customer segmentation, pricing strategies, and inventory management. </li><li>Provide expert guidance on the theoretical foundations of statistical models and machine learning techniques, ensuring the selection of appropriate methods is grounded in a deep understanding of the problem context, underlying assumptions, and potential trade-offs. </li><li>Ensure the accuracy, quality, and scalability of data science solutions. </li></ul> Strategic Collaboration <ul> <li>Work with cross-functional teams, including marketing, operations, investments, and finance, to identify data-driven opportunities. </li><li>Provide actionable insights and recommendations to senior leadership based on analytical findings. </li><li>Lead projects aimed at optimizing business operations, improving customer experience, and increasing revenue. </li></ul> Experimentation and Testing <ul> <li>Design and implement testing and experimentation strategies, including A/B testing and controlled experiments. </li><li>Analyze results from experiments to measure the effectiveness of business strategies. </li><li>Develop guidelines and best practices for consistent and reliable experimentation results. </li></ul> Data Infrastructure and Governance <ul> <li>Collaborate with IT and data engineering teams to ensure data infrastructure is reliable and scalable. </li><li>Establish and maintain data governance practices to ensure data quality, consistency, and security. </li><li>Advocate for best practices in data management. </li></ul> Leadership and Mentorship <ul> <li>Mentor junior data scientists, providing guidance on best practices and technical problem-solving. </li><li>Foster a collaborative and innovative team culture, promoting continuous learning and professional development. </li></ul> Communication and Stakeholder Management <ul> <li>Communicate complex analytical concepts and insights to non-technical stakeholders, including executives. </li><li>Develop and deliver presentations, reports, and dashboards to convey data-driven insights. </li><li>Build and maintain strong relationships with internal stakeholders to understand their needs and provide tailored data science solutions. </li></ul>Qualifications: <ul> <li>Masters degree or Ph.D. in Economics, Data Science, Statistics, Mathematics, or a related field. </li><li>Minimum of 5 years of experience in data science, analytics, or a related field. </li><li>Proven track record in developing and deploying machine learning models and advanced analytics solutions. </li><li>Proficiency in programming languages such as Python and SQL, and big data technologies like Databricks. </li><li>Strong problem-solving skills and strategic thinking ability. </li><li>Excellent communication skills for explaining technical concepts to non-technical audiences. </li><li>Strong interpersonal skills for building relationships with stakeholders. </li></ul> Work Environment Join us at CubeSmart, and you will: <ul><li>Be part of a leading REIT recognized for its data-driven innovations and ranked among the top 50 Best Companies to Work for in North America. </li><li>Collaborate within a large, diverse analytics team tackling a wide range of projects including market research, predictive and prescriptive analytics, marketing, pricing, revenue management, and more. </li><li>Work on impactful projects that span across strategic investment, marketing, pricing, sales, operations, and customer service, driving real business outcomes. </li><li>Receive opportunities for professional and personal growth, enhancing your skills and career trajectory. </li><li>Interact with both internal stakeholders and external partners to gather and analyze customer and operational data, enriching our business insights. </li><li>Lead and guide project teams towards successful outcomes, from planning and design to implementation, making strategic decisions based on data and analytics. </li><li>Mentor and provide leadership to junior data scientists, contributing to our collective success and operational excellence. </li></ul> We are an Equal Opportunity Employer, Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity. #LI-MT1 #LI-Hyrbid #LI-MT1

At Customers Bank, we believe in working hard, working smart, working together to deliver memorable customer experiences and having fun. Our vision, mission, and values guide us along our path to achieve excellence. Passion, attitude, creativity, integrity, alignment, and execution are cornerstones of our behaviors. They define who we are as an organization and as individuals. Everyone is encouraged to have personal development plans. By doing so, our team members are on their way to achieve their highest potential and be successful in their personal and professional lives. Work Location: Hybrid in Malvern or West Reading, PA., coming into the office at least 3-days per week with Monday, Tuesday, and Thursday being the set in-office days. If within a 50-mile radius of a Customers Bank location, the expectation is to be hybrid. All subject to change. Must be legally eligible to work in the United States without sponsorship, now or in the future, to be considered. Who is Customers Bank? Founded in 2009, Customers Bank is a super-community bank with over $22 billion in assets. We believe in dedicated personal service for the businesses, professionals, individuals, and families we work with. We get you further, faster. Focused on you: We provide every customer with a single point of contact. A dedicated team member who's committed to meeting your needs today and tomorrow. On the leading edge: We're innovating with the latest tools and technology so we can react to market conditions quicker and help you get ahead. Proven reliability: We always ground our innovation in our deep experience and strong financial foundation, so we're a partner you can trust. What You'll Do: We are looking for talented AML Technology Developers/Data Scientists to support the design and tuning of transaction monitoring scenarios. In this role, you will work alongside the AML Technology Manager to enhance the organization's ability to detect and prevent financial crimes, utilizing the latest in data science and compliance technologies. Key Responsibilities: <ul> <li>Assist in the development and tuning of transaction monitoring scenarios for AML compliance. </li><li>Utilize data science techniques to analyze and improve the efficiency of AML transaction monitoring systems. </li><li>Build models to detect suspicious activities and continuously improve transaction monitoring rules. </li><li>Collaborate with the AML Technology Manager and compliance teams to integrate and implement new technologies for financial crime prevention. </li><li>Stay updated on new tools and techniques in financial crime compliance and make recommendations for system enhancements. </li><li>Develop dashboards and reports that provide insights into transaction monitoring performance. </li></ul>What Do You Need? <ul> <li>Bachelor's degree in computer science, data science, or a related field. </li><li>5 - 7 years of experience in AML technology or a related field. </li><li>Strong programming skills (Python, SQL, or similar languages) and experience in data modeling and analysis. </li><li>Experience with AML transaction monitoring tools and technologies. </li><li>Knowledge of machine learning and data science techniques is preferred. </li><li>Ability to work collaboratively with cross-functional teams. </li></ul>Technology Skills: <ul> <li>Ability to work with the Microsoft Suite and learn/work with other Customers Bank's applications. </li></ul> Customers Bank is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also provide "reasonable accommodations", upon request, to qualified individuals with disabilities, in accordance with the Americans with Disabilities Act and applicable state and local laws. Diversity Statement: At Customers Bank, we believe in working smart, working together, and having fun while delivering innovative solutions and memorable experiences for our customers. We are committed to the continual advancement of a culture which reflects the value we place on diversity, equity, and inclusion. We honor the diverse experiences, perspectives, and identities of our team members, and we recognize that it is their passion, creativity, and integrity that drives our success. Step into your future with us! Let's take on tomorrow.

Malvern, PA | West Reading - HQ | 2 Locations | Malvern, PA Full time | Full time | Full time REQ-2024-503

At Customers Bank, we believe in working hard, working smart, working together to deliver memorable customer experiences and having fun. Our vision, mission, and values guide us along our path to achieve excellence. Passion, attitude, creativity, integrity, alignment, and execution are cornerstones of our behaviors. They define who we are as an organization and as individuals. Everyone is encouraged to have personal development plans. By doing so, our team members are on their way to achieve their highest potential and be successful in their personal and professional lives.

Work Location: Hybrid in Malvern or West Reading, PA., coming into the office at least 3-days per week with Monday, Tuesday, and Thursday being the set in-office days. If within a 50-mile radius of a Customers Bank location, the expectation is to be hybrid. All subject to change.

Must be legally eligible to work in the United States without sponsorship, now or in the future, to be considered.

Who is Customers Bank?

Founded in 2009, Customers Bank is a super-community bank with over $22 billion in assets. We believe in dedicated personal service for the businesses, professionals, individuals, and families we work with.

We get you further, faster.

Focused on you: We provide every customer with a single point of contact. A dedicated team member who's committed to meeting your needs today and tomorrow.

On the leading edge: We're innovating with the latest tools and technology so we can react to market conditions quicker and help you get ahead.

Proven reliability: We always ground our innovation in our deep experience and strong financial foundation, so we're a partner you can trust.

What You'll Do:

We are looking for talented AML Technology Developers/Data Scientists to support the design and tuning of transaction monitoring scenarios. In this role, you will work alongside the AML Technology Manager to enhance the organization's ability to detect and prevent financial crimes, utilizing the latest in data science and compliance technologies.

Key Responsibilities: * Assist in the development and tuning of transaction monitoring scenarios for AML compliance. * Utilize data science techniques to analyze and improve the efficiency of AML transaction monitoring systems. * Build models to detect suspicious activities and continuously improve transaction monitoring rules. * Collaborate with the AML Technology Manager and compliance teams to integrate and implement new technologies for financial crime prevention. * Stay updated on new tools and techniques in financial crime compliance and make recommendations for system enhancements. * Develop dashboards and reports that provide insights into transaction monitoring performance. What Do You Need? * Bachelor's degree in computer science, data science, or a related field. * 5 - 7 years of experience in AML technology or a related field. * Strong programming skills Python, SQL, or similar languages and experience in data modeling and analysis. * Experience with AML transaction monitoring tools and technologies. * Knowledge of machine learning and data science techniques is preferred. * Ability to work collaboratively with cross-functional teams. Technology Skills: * Ability to work with the Microsoft Suite and learn/work with other Customers Bank's applications.

Customers Bank is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender including pregnancy, childbirth, or related medical conditions, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

We also provide reasonable accommodations, upon request, to qualified individu ls with disabilities, in accordance with the Americans with Disabilities Act and applicable state and local laws.

Diversity Statement:

At Customers Bank, we believe in working smart, working together, and having fun while delivering innovative solutions and memorable experiences for our customers. We are committed to the continual advancement of a culture which reflects the value we place on diversity, equity, and inclusion. We honor the diverse experiences, perspectives, and identities of our team members, and we recognize that it is their passion, creativity, and integrity that drives our success. Step into your future with us! Let's take on tomorrow.

Founded in 2009, Customers Bank is a super-community bank with $20.3 billion in assets at June 30, 2022. We believe in dedicated personal service for the businesses, professionals, individuals and families we work with. We offer banking and loan services across Florida, Illinois, Massachusetts, New Hampshire, New Jersey, New York, North Carolina, Pennsylvania, Rhode Island and Texas. Customers Bank is a member of the Federal Reserve System with deposits insured by the Federal Deposit Insurance Corporation. Customers Bank is an equal opportunity lender. Customers Bank takes pride in delivering extremely high levels of customer service while charging comparatively very low fees; service that makes our clients say, Wow. Customers Bank, with its headquarters located in Malvern, Pennsylvania, is a subsidiary of Customers Bancorp, Inc., a bank holding company. The voting common shares of Customers Bancorp, Inc. are listed on the New York Stock Exchange under the symbol CUBI.

Customer Service driven VEVRAA Federal Contractor, seeking priority referral of qualified protected veterans. Customers Bank will provide consideration for employment to qualified applicants without regard to their race, color, religion, national origin, sex/ gender, sexual orientation, gender identity, protected veteran status or disability. PI255247252

Data Scientist Jobs in Malvern, PA

Aml Technology Developerdata Scientist
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Senior Data Scientist
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Senior Data Scientist
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Aml Technology Developerdata Scientist
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Aml Technology Developerdata Scientist
November 27, 2024

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Data Scientist Jobs in Malvern, PA

Aml Technology Developerdata ScientistDecember 8, 2024

Senior Data ScientistDecember 8, 2024

Senior Data ScientistDecember 3, 2024

Data ScientistDecember 1, 2024

Senior Data ScientistNovember 30, 2024

Aml Technology Developerdata ScientistNovember 29, 2024

Aml Technology Developerdata ScientistNovember 27, 2024