Strategic Analytics [Multiple Positions Available]

JPMorgan Chase & Co. • Columbus, OH

9h • Onsite

About The Position

Develop and optimize fraud screening and acquisition strategies for deposit accounts focusing on reducing fraud losses and enhancing decision rule performance. Analyze large-scale datasets to identify emerging fraud patterns, deploying adaptive countermeasures and targeted risk strategies. Create and maintain internal datamarts, improving data accessibility and enabling rapid deployment of fraud solutions across initiatives. Build interactive dashboards and automated reports using Excel, Tableau, and PowerPoint to enhance executive visibility into fraud KPIs and operational risk metrics. Analyze fraud activity and trends across digital and branch channels, supporting the Deposit Fraud Risk portfolio through advanced data transformation and modeling. Collaborate with Data Science and Model Risk teams to train, validate, and monitor machine learning models, ensuring model integrity and compliance with governance standards. Conduct A/B testing, uplift modeling, segmentation, and hypothesis to evaluate fraud mitigation strategies. Ensure compliance with regulations like the Fair Credit Reporting Act (FCRA) by performing adverse action reconciliation and supporting audit documentation. Partner with Product, Compliance, Marketing, and Engineering teams to address fraud-related process gaps, enhancing onboarding workflows with embedded risk controls. Conduct exploratory data analysis (EDA) and trend mining to identify fraud trends and inform strategic risk roadmaps. Present fraud strategy outcomes and loss trend analyses to senior executives through data-driven presentations and summaries, influencing decision-making aligned with evolving fraud and risk trends. Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

Requirements

• Master's degree in Information Technology, Analytics, or related field of study plus three (3) years of experience in the job offered or as Strategic Analytics Associate, Risk Architect, Data Analyst, or related occupation.
• Alternatively, a Bachelor's Degree in Information Technology, Analytics, or related field of study plus five (5) years of experience in the job offered or as Strategic Analytics Associate, Risk Architect, Data Analyst, or related occupation.
• Three (3) years of experience with analyzing large-scale datasets with SAS and SQL to identify fraud patterns.
• Three (3) years of experience with creating and maintaining datamarts with SQL and SAS.
• Three (3) years of experience with building dashboards and automated reports using Excel, Tableau, and PowerPoint.
• Three (3) years of experience with analyzing fraud activity and trends across digital and branch channels.
• Three (3) years of experience with conducting A/B testing, uplift modeling, segmentation, and hypothesis testing in SAS and SQL.
• Three (3) years of experience with partnering with cross-functional teams to enhance processes and implement risk controls.
• Three (3) years of experience with conducting exploratory data analysis (EDA) and trend mining using SAS and SQL.
• Three (3) years of experience with presenting data-driven insights and analyses to senior executives to influence decision-making.
• Three (3) years of experience with data mining, data transformation, and segmentation techniques using SQL and visualization tools.
• Three (3) years of experience with exploratory data analysis (EDA) to identify trends and inform strategic risk roadmaps.
• Three (3) years of experience with using Excel including VBA and Tableau to monitor trends.

Responsibilities

• Develop and optimize fraud screening and acquisition strategies for deposit accounts focusing on reducing fraud losses and enhancing decision rule performance.
• Analyze large-scale datasets to identify emerging fraud patterns, deploying adaptive countermeasures and targeted risk strategies.
• Create and maintain internal datamarts, improving data accessibility and enabling rapid deployment of fraud solutions across initiatives.
• Build interactive dashboards and automated reports using Excel, Tableau, and PowerPoint to enhance executive visibility into fraud KPIs and operational risk metrics.
• Analyze fraud activity and trends across digital and branch channels, supporting the Deposit Fraud Risk portfolio through advanced data transformation and modeling.
• Collaborate with Data Science and Model Risk teams to train, validate, and monitor machine learning models, ensuring model integrity and compliance with governance standards.
• Conduct A/B testing, uplift modeling, segmentation, and hypothesis to evaluate fraud mitigation strategies.
• Ensure compliance with regulations like the Fair Credit Reporting Act (FCRA) by performing adverse action reconciliation and supporting audit documentation.
• Partner with Product, Compliance, Marketing, and Engineering teams to address fraud-related process gaps, enhancing onboarding workflows with embedded risk controls.
• Conduct exploratory data analysis (EDA) and trend mining to identify fraud trends and inform strategic risk roadmaps.
• Present fraud strategy outcomes and loss trend analyses to senior executives through data-driven presentations and summaries, influencing decision-making aligned with evolving fraud and risk trends.

Benefits

• competitive total rewards package including base salary determined based on the role, experience, skill set and location
• commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions
• comprehensive health care coverage
• on-site health and wellness centers
• a retirement savings plan
• backup childcare
• tuition reimbursement
• mental health support
• financial coaching

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees