Job description:
Monitor and manage proprietary system of trade-based alerts and escalate accordingly.
Develop and enhance trading strategies based on knowledge of market patterns.
Extract and analyze market data to develop innovative core analytical tools and quantitative models.
Define and assess model specifications and data collection methods for optimum reliability and effectiveness.
Apply statistical and analytical knowledge to address potential issues in current risk and hedge performance techniques and tactics.
Create and implement high-performance, multi-threaded applications.
Collaborate with global risk team to further understand and predict market trends, driving productivity and overall department cohesion.

#J-18808-Ljbffr

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description Allstate Investments manages approximately $66 billion of assets. Our goal is to provide sustainable, competitive, risk-adjusted investment returns and investment related services for the benefit of The Allstate Corporation. We attribute our successful track record in large part to the quality of our people. The size of the investment group exceeds 300 individuals across a variety of investment disciplines including, fixed income, equities, private securities, commercial mortgages and derivative asset classes, as well as, finance and technology. We recognize that our employees are our ultimate advantage and we seek to attract and retain highly qualified individuals with strong academic backgrounds, a deep interest in investments and a desire to be challenged. You'll do all this in an environment of excellence and the highest ethical standards - a place where values such as integrity, inclusive diversity and accountability are paramount. This position is a hybrid role, meaning your schedule may consist of time in an office setting and time working remotely from your home. The hybrid model is intended to provide greater flexibility - and will mean something different to each team, job and employee. Office presence is driven by the nature of the work and team needs. You'll work from home for the remainder of the time you're not in the office. JOB SUMMARY As part of Allstate Investments' Risk and Return Group, The Quantitative Research team supports the broad quantitative investment research by collaborating with portfolio management team and providing data analytics, quantitative modeling and investment strategy research covering a wide range of investment mandates, including asset allocation, public and private investing, an d risk allocations. The candidate will be working alongside of our quantitative research ers , responsible for assisting various phases of quantitative research process, such as data modeling, statistical analysis, performance tracking, and signal research. The candidate will participate in research meetings, project review sessions, and investment forum, gaining exposure to various stages of the investment life cycle. This is a hybrid internship: Tuesday, Wednesday and Thursday in our downtown River Point office collaborating with the team in person. Monday and Friday will be remote. KEY RESPONSIBILITIES <ul><li>Quantitative Research and Modeling for public and private markets </li> </ul> <ul><li>Support Analytical Platforms and Daily Model Production </li> </ul> <ul><li>Data Science and Data Strategy development for Investment Analytics </li> </ul> <ul><li>Identifies business needs by synthesizing information through research, working session outputs and direction from more senior team members </li> </ul> <ul><li>Helps design presentations and communicates effectively to leadership </li> </ul> <ul><li>Works cooperatively on cross-functional teams </li> </ul> SUPERVISORY RESPONSIBILITIES This job does have supervisory duties. EDUCATION AND EXPERIENCE <ul><li>Pursuing a Bachelor's degree in Finance , Accounting, Economics, Mathematics, Statistics, or Data Science; must be a full-time student the semester following the internship </li> </ul> CERTIFICATIONS, LICENSES, REGISTRATIONS <ul><li>No Certification, License or Registration is required for the job </li> </ul> FUNCTIONAL SKILLS <ul><li>Passion in investment management industry </li> </ul> <ul><li>Ability to think strategically, anticipate basic resource needs, establish objectives , set priorities, identify resource requirements, define dependencies and schedule activities, and understand Allstate's strategic direction </li> </ul> <ul><li>Strong analytical skills; experience with SQL, Python and Statistics </li> </ul> <ul><li>Ability to solve problems within scope of responsibilities </li> </ul> <ul><li>Ability to draw conclusions and make recommendations based on data </li> </ul> <ul><li>Ability to maintain relationships with business and stakeholders as needed to accomplish assigned tasks </li> </ul> <ul><li>Effective communication skills </li> </ul> Compensation offered for this role is between $23 and $32 an hour and is based on experience and qualifications. Skills Customer Centricity, Digital Literacy, Inclusive Leadership, Learning Agility, Results-OrientedJoining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good. You'll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we've proven that Allstate empowers everyone to lead, drive change and give back where they work and live. Good Hands. Greater Together. Allstate generally does not sponsor individuals for employment-based visas for this position. Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. For jobs in San Francisco, please click "here" for information regarding the San Francisco Fair Chance Ordinance. For jobs in Los Angeles, please click "here" for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance. To view the "EEO is the Law" poster click "<a >here </a>". This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs To view the FMLA poster, click "<a >here </a>". This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint. It is the Company's policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee's ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment. #J-18808-Ljbffr

Job description: <ul><li>Monitor and manage proprietary system of trade-based alerts and escalate accordingly. </li><li>Develop and enhance trading strategies based on knowledge of market patterns. </li><li>Extract and analyze market data to develop innovative core analytical tools and quantitative models. </li><li>Define and assess model specifications and data collection methods for optimum reliability and effectiveness. </li><li>Apply statistical and analytical knowledge to address potential issues in current risk and hedge performance techniques and tactics. </li><li>Create and implement high-performance, multi-threaded applications. </li><li>Collaborate with global risk team to further understand and predict market trends, driving productivity and overall department cohesion. </li> </ul>#J-18808-Ljbffr

Job Highlights

Title
Credit Card Quantitative Analyst

Type
Full Time

Experience
Required

Function
Business Reporting/Analysis

Location
Chicago, IL, United States

Company
Huntington National Bank

Company Profile

Huntington National Bank  (a subsidiary of Huntington Bancshares) provides consumers, small and middle‐market businesses, corporations, municipalities, and other organizations with a comprehensive suite of banking, payments, wealth management, and risk management products and services.

Job Profile

The bank is hiring a  Credit Card Quantitative  Analyst   who will  be responsible for providing quantitative analytic support  for Huntington’s Card Product Portfolios (Credit and Debit Card) through marketing campaign development and analysis, Credit Risk monitoring, and overall portfolio performance analysis.

Entail analyzing trends and developing insights with an eye towards strategy enhancement.

Responsible for using statistical methodology to ensure that testing, learning, and production goals are met.

Education Level

Bachelor’s Degree   in business information systems, computer science, mathematical disciplines, finance, economics, or another technical degree.

Work Experience

Minimum of 4+ years of experience in financial services

Minimum of 4+ years of experience using data manipulation tools such as SAS, SQL, R, or Python, Business Objects, or other tools to query large databases and manipulate large data files.

Experience developing and applying statistical or machine learning methods in a corporate environment through applications such as R, Python, SAS, SPSS, S, S-PLUS, or Stata

Duties/Responsibilities

Apply machine learning, data mining, and visualization techniques to make accurate and actionable analyses in a timely fashion.

Balances sound risk management practices with portfolio growth and profitability

Coaches, develops, and leads junior analysts in business analysis, data extraction projects, and reporting

Collaborates closely with multiple levels of senior management and various business segments (Marketing, Risk Management, Product, Legal, Regulatory Compliance) to make recommendations and influence business decisions

Develop recommendations to optimize new account acquisition strategies by utilizing statistical scoring, segmentation and regression, and simulation techniques

Leverages strong storytelling skills to uncover and communicate trends to all levels of the organization

Maintains outlook on competitive landscape and translates to potential opportunities within the Bank’s portfolio

Translate complex data from multiple sources, formats, and data structures into actionable and tangible strategies

Preferred Qualifications

Advanced degree (i.e. MBA, MS, or PhD) (preferred)

Credit card lifecycle experience (preferable)

Experience developing and executing sophisticated credit card marketing analytics, establishing a framework for the delivery of marketing insights and reporting

Experience with business intelligence and data mining tools such as BusinessObjects, MicroStrategy, Tableau, QlikView, and SAS Enterprise Guide/Miner in a corporate or academic environment.

Skills/Knowledge/Abilities

Ability to multi-task, remain objective and goal-focused under pressure

Ability to think analytically and strategically and balance quantitative methodology and business insights to drive results

Proficiency with Microsoft Office product suite (Excel, Word, PowerPoint)

Strong leadership skills and ability to think independently

Strong verbal, written, and communication skills and ability to convey and simplify complex problems and solutions

Benefits/Perks

Health Programs

Financial Security

Suitable Work/Life Balance

Colleague Support Programs

Employer’s Statement

Huntington is an Equal Opportunity Employer. The bank provides equal employment opportunities for all applicants regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, veteran status, gender identity and expression, genetic information, or any other basis protected by local, state, or federal law.

#J-18808-Ljbffr

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description Allstate Investments manages approximately $66 billion of assets. Our goal is to provide sustainable, competitive, risk-adjusted investment returns and investment related services for the benefit of The Allstate Corporation. We attribute our successful track record in large part to the quality of our people. The size of the investment group exceeds 300 individuals across a variety of investment disciplines including fixed income, equities, private securities, commercial mortgages and derivative asset classes, as well as finance and technology. We recognize that our employees are our ultimate advantage and we seek to attract and retain highly qualified individuals with strong academic backgrounds, a deep interest in investments and a desire to be challenged. You'll do all this in an environment of excellence and the highest ethical standards - a place where values such as integrity, inclusive diversity and accountability are paramount. This position is a hybrid role, meaning your schedule may consist of time in an office setting and time working remotely from your home. The hybrid model is intended to provide greater flexibility - and will mean something different to each team, job, and employee. Office presence is driven by the nature of the work and team needs. You'll work from home for the remainder of the time you're not in the office. JOB SUMMARY As part of Allstate Investments' Risk and Return Group, The Quantitative Research team supports the broad quantitative investment research by collaborating with portfolio management team and providing data analytics, quantitative modeling and investment strategy research covering a wide range of investment mandates, including asset allocation, public and private investing, and risk allocations. The candidate will be working alongside our quantitative researchers, responsible for assisting various phases of quantitative research process, such as data modeling, statistical analysis, performance tracking, and signal research. The candidate will participate in research meetings, project review sessions, and investment forum, gaining exposure to various stages of the investment life cycle. This is a hybrid internship: Tuesday, Wednesday and Thursday in our downtown River Point office collaborating with the team in person. Monday and Friday will be remote. KEY RESPONSIBILITIES <ul><li>Quantitative Research and Modeling for public and private markets </li><li>Support Analytical Platforms and Daily Model Production </li><li>Data Science and Data Strategy development for Investment Analytics </li><li>Identifies business needs by synthesizing information through research, working session outputs and direction from more senior team members </li><li>Helps design presentations and communicates effectively to leadership </li><li>Works cooperatively on cross-functional teams </li> </ul>SUPERVISORY RESPONSIBILITIES This job does have supervisory duties. EDUCATION AND EXPERIENCE <ul><li>Pursuing a Bachelor's degree in Finance, Accounting, Economics, Mathematics, Statistics, or Data Science; must be a full-time student the semester following the internship </li> </ul>CERTIFICATIONS, LICENSES, REGISTRATIONS <ul><li>No Certification, License or Registration is required for the job </li> </ul>FUNCTIONAL SKILLS <ul><li>Passion in investment management industry </li><li>Ability to think strategically, anticipate basic resource needs, establish objectives, set priorities, identify resource requirements, define dependencies and schedule activities, and understand Allstate's strategic direction </li><li>Strong analytical skills; experience with SQL, Python and Statistics </li><li>Ability to solve problems within scope of responsibilities </li><li>Ability to draw conclusions and make recommendations based on data </li><li>Ability to maintain relationships with business and stakeholders as needed to accomplish assigned tasks </li><li>Effective communication skills </li> </ul>Compensation offered for this role is between $23 and $32 an hour and is based on experience and qualifications. The candidate(s) offered this position will be required to submit to a background investigation. Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good. You'll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we've proven that Allstate empowers everyone to lead, drive change and give back where they work and live. Good Hands. Greater Together. Allstate generally does not sponsor individuals for employment-based visas for this position. #J-18808-Ljbffr

Job Highlights <table><tbody><tr><td>Title </td><td>Credit Card Quantitative Analyst </td> </tr><tr><td>Type </td><td>Full Time </td> </tr><tr><td>Experience </td><td>Required </td> </tr><tr><td>Function </td><td>Business Reporting/Analysis </td> </tr><tr><td>Location </td><td>Chicago, IL, United States </td> </tr><tr><td>Company </td><td>Huntington National Bank </td> </tr> </tbody> </table>Company Profile Huntington National Bank (a subsidiary of Huntington Bancshares) provides consumers, small and middle‐market businesses, corporations, municipalities, and other organizations with a comprehensive suite of banking, payments, wealth management, and risk management products and services. Job Profile The bank is hiring a Credit Card Quantitative <a >Analyst </a> who will be responsible for providing quantitative analytic support for Huntington’s Card Product Portfolios (Credit and Debit Card) through marketing campaign development and analysis, Credit Risk monitoring, and overall portfolio performance analysis. Entail analyzing trends and developing insights with an eye towards strategy enhancement. Responsible for using statistical methodology to ensure that testing, learning, and production goals are met. Education Level <ul><li><a >Bachelor’s Degree </a> in business information systems, computer science, mathematical disciplines, finance, economics, or another technical degree. </li> </ul>Work Experience <ul><li>Minimum of 4+ years of experience in financial services </li><li>Minimum of 4+ years of experience using data manipulation tools such as SAS, SQL, R, or Python, Business Objects, or other tools to query large databases and manipulate large data files. </li><li>Experience developing and applying statistical or machine learning methods in a corporate environment through applications such as R, Python, SAS, SPSS, S, S-PLUS, or Stata </li> </ul>Duties/Responsibilities <ul><li>Apply machine learning, data mining, and visualization techniques to make accurate and actionable analyses in a timely fashion. </li><li>Balances sound risk management practices with portfolio growth and profitability </li><li>Coaches, develops, and leads junior analysts in business analysis, data extraction projects, and reporting </li><li>Collaborates closely with multiple levels of senior management and various business segments (Marketing, Risk Management, Product, Legal, Regulatory Compliance) to make recommendations and influence business decisions </li><li>Develop recommendations to optimize new account acquisition strategies by utilizing statistical scoring, segmentation and regression, and simulation techniques </li><li>Leverages strong storytelling skills to uncover and communicate trends to all levels of the organization </li><li>Maintains outlook on competitive landscape and translates to potential opportunities within the Bank’s portfolio </li><li>Translate complex data from multiple sources, formats, and data structures into actionable and tangible strategies </li> </ul>Preferred Qualifications <ul><li>Advanced degree (i.e. MBA, MS, or PhD) (preferred) </li><li>Credit card lifecycle experience (preferable) </li><li>Experience developing and executing sophisticated credit card marketing analytics, establishing a framework for the delivery of marketing insights and reporting </li><li>Experience with business intelligence and data mining tools such as BusinessObjects, MicroStrategy, Tableau, QlikView, and SAS Enterprise Guide/Miner in a corporate or academic environment. </li> </ul>Skills/Knowledge/Abilities <ul><li>Ability to multi-task, remain objective and goal-focused under pressure </li><li>Ability to think analytically and strategically and balance quantitative methodology and business insights to drive results </li><li>Proficiency with Microsoft Office product suite (Excel, Word, PowerPoint) </li><li>Strong leadership skills and ability to think independently </li><li>Strong verbal, written, and communication skills and ability to convey and simplify complex problems and solutions </li> </ul>Benefits/Perks <ul><li>Health Programs </li><li>Financial Security </li><li>Suitable Work/Life Balance </li><li>Colleague Support Programs </li> </ul>Employer’s Statement Huntington is an Equal Opportunity Employer. The bank provides equal employment opportunities for all applicants regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, veteran status, gender identity and expression, genetic information, or any other basis protected by local, state, or federal law. #J-18808-Ljbffr

Job Highlights
<table>
<tbody>
<tr>
<td>Title</td>
<td>Credit Card Quantitative Analyst</td>
</tr>
<tr>
<td>Type</td>
<td>Full Time</td>
</tr>
<tr>
<td>Experience</td>
<td>Required</td>
</tr>
<tr>
<td>Function</td>
<td>Business Reporting/Analysis</td>
</tr>
<tr>
<td>Location</td>
<td>Chicago, IL, United States</td>
</tr>
<tr>
<td>Company</td>
<td>Huntington National Bank</td>
</tr>
</tbody>
</table>
Company Profile
Huntington National Bank (a subsidiary of Huntington Bancshares) provides consumers, small and middle‐market businesses, corporations, municipalities, and other organizations with a comprehensive suite of banking, payments, wealth management, and risk management products and services.
Job Profile
The bank is hiring a Credit Card Quantitative <a href="#">Analyst</a> who will be responsible for providing quantitative analytic support for Huntington’s Card Product Portfolios (Credit and Debit Card) through marketing campaign development and analysis, Credit Risk monitoring, and overall portfolio performance analysis.
Entail analyzing trends and developing insights with an eye towards strategy enhancement.
Responsible for using statistical methodology to ensure that testing, learning, and production goals are met.
Education Level
<ul>
<li><a href="#">Bachelor’s Degree</a> in business information systems, computer science, mathematical disciplines, finance, economics, or another technical degree.</li>
</ul>
Work Experience
<ul>
<li>Minimum of 4+ years of experience in financial services</li>
<li>Minimum of 4+ years of experience using data manipulation tools such as SAS, SQL, R, or Python, Business Objects, or other tools to query large databases and manipulate large data files.</li>
<li>Experience developing and applying statistical or machine learning methods in a corporate environment through applications such as R, Python, SAS, SPSS, S, S-PLUS, or Stata</li>
</ul>
Duties/Responsibilities
<ul>
<li>Apply machine learning, data mining, and visualization techniques to make accurate and actionable analyses in a timely fashion.</li>
<li>Balances sound risk management practices with portfolio growth and profitability</li>
<li>Coaches, develops, and leads junior analysts in business analysis, data extraction projects, and reporting</li>
<li>Collaborates closely with multiple levels of senior management and various business segments (Marketing, Risk Management, Product, Legal, Regulatory Compliance) to make recommendations and influence business decisions</li>
<li>Develop recommendations to optimize new account acquisition strategies by utilizing statistical scoring, segmentation and regression, and simulation techniques</li>
<li>Leverages strong storytelling skills to uncover and communicate trends to all levels of the organization</li>
<li>Maintains outlook on competitive landscape and translates to potential opportunities within the Bank’s portfolio</li>
<li>Translate complex data from multiple sources, formats, and data structures into actionable and tangible strategies</li>
</ul>
Preferred Qualifications
<ul>
<li>Advanced degree (i.e. MBA, MS, or PhD) (preferred)</li>
<li>Credit card lifecycle experience (preferable)</li>
<li>Experience developing and executing sophisticated credit card marketing analytics, establishing a framework for the delivery of marketing insights and reporting</li>
<li>Experience with business intelligence and data mining tools such as BusinessObjects, MicroStrategy, Tableau, QlikView, and SAS Enterprise Guide/Miner in a corporate or academic environment.</li>
</ul>
Skills/Knowledge/Abilities
<ul>
<li>Ability to multi-task, remain objective and goal-focused under pressure</li>
<li>Ability to think analytically and strategically and balance quantitative methodology and business insights to drive results</li>
<li>Proficiency with Microsoft Office product suite (Excel, Word, PowerPoint)</li>
<li>Strong leadership skills and ability to think independently</li>
<li>Strong verbal, written, and communication skills and ability to convey and simplify complex problems and solutions</li>
</ul>
Benefits/Perks
<ul>
<li>Health Programs</li>
<li>Financial Security</li>
<li>Suitable Work/Life Balance</li>
<li>Colleague Support Programs</li>
</ul>
Employer’s Statement
Huntington is an Equal Opportunity Employer. The bank provides equal employment opportunities for all applicants regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, veteran status, gender identity and expression, genetic information, or any other basis protected by local, state, or federal law.
#J-18808-Ljbffr

Quantitative Associate - Renewable Energy Analytics Our client, a leading renewable energy company, is seeking an accomplished Quantitative Associate to join their analytics team. This role offers an exciting opportunity to drive data decision-making across the revenue function, focusing on renewable power sales, portfolio management of solar generation assets, and optimisation of battery storage assets. Key Responsibilities:<ul><li>Develop models to support decision-making in renewable power sales, asset management, and battery storage optimization</li><li>Provide analytics to maximize asset P&L while mitigating risks</li><li>Support the company's growth by helping deliver innovative renewable energy solutions to customers nationwide</li><li>Contribute to the development of customer-led strategies and product innovation</li><li>Leverage analytics to build out an ecosystem for measuring, reporting, and sensitising portfolio positions and risks</li><li>Design and construct risk management tools for evaluating and managing the company's risk profile</li><li>Develop techniques for quantitative data management, advanced analytics, and machine learning</li><li>Monitor and analyze market information to identify opportunities for profitability and risk reduction</li><li>Develop strategies to optimize solar generation and battery storage assets</li><li>Incorporate weather forecasts, load forecasts, and operational constraints into decision-making processes</li><li>Analyze commercial terms of PPAs, identifying risks and proposing mitigation strategies</li></ul> Qualifications:<ul><li>2-5 years of relevant experience in competitive energy markets, preferably with renewable assets</li><li>Bachelor's degree or higher in Engineering, Computer Science, Mathematics, or related field</li><li>Experience in valuation and analysis of derivatives, and pricing of structured products</li><li>Familiarity with US power markets and commodity markets</li><li>Strong technical skills, including proficiency in Python, C++, C#, R, VBA, Matlab, and SQL</li></ul>

Job description:<ul><li>Monitor and manage proprietary system of trade-based alerts and escalate accordingly.</li><li>Develop and enhance trading strategies based on knowledge of market patterns.</li><li>Extract and analyze market data to develop innovative core analytical tools and quantitative models.</li><li>Define and assess model specifications and data collection methods for optimum reliability and effectiveness.</li><li>Apply statistical and analytical knowledge to address potential issues in current risk and hedge performance techniques and tactics.</li><li>Create and implement high-performance, multi-threaded applications.</li><li>Collaborate with global risk team to further understand and predict market trends, driving productivity and overall department cohesion.</li></ul>
#J-18808-Ljbffr

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Quantitative Analyst Jobs in Chicago, IL

Thinkmarkets Quantitative AnalystDecember 15, 2024

Investments Quantitative Analyst InternDecember 14, 2024

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Credit Card Quantitative Analyst Huntington National BankDecember 10, 2024

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Credit Card Quantitative Analyst Huntington National BankDecember 9, 2024

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