Point of Sale Fraud Strategy [Multiple Positions Available]

JPMorganChase; Columbus (OH); On-site; USD 110,000 - 150,000; Full time

Job summary

Chase is seeking a senior analytics leader to manage and optimize fraud losses for Consumer and Business Banking deposits in Columbus, OH. You will drive analytics programs, deliver insights to senior leadership, and guide cross-functional teams on fraud prevention strategies.

The role emphasizes collaboration with product owners, risk modeling, and adoption of machine learning to improve risk decisioning and business metrics.

Qualifications

• Master's or PhD level analytics/engineering degree or related field.
• 5+ years designing, developing, and optimizing SQL queries across enterprise databases.
• Experience with Python, SAS, and R for data acquisition, cleansing and modeling.
• Experience building ML models including XGBoost and using descriptive, predictive, and prescriptive analytics.

Responsibilities

• Lead analytics for fraud losses across Consumer and Business Banking deposits.
• Partner with product owners to deliver analytics-driven insights and storytelling of fraud trends.
• Support ML model improvements with Risk Modeling teams and refine modeling techniques.

Skills

SQL queries

Python

SAS

R

ML modeling

Statistical analysis

Analytics & forecasting

Education

Master's degree in Business Analytics/related field

Bachelor's degree + 7 years experience in related roles

Tools

Tableau

Power BI

Hyperion Essbase

Excel

PowerPoint

Python

SAS

R

Job description

Job Description

Duties: Manage the Consumer Bank and Business Bank deposit account fraud losses through advanced analytics and reporting, identifying opportunities for loss mitigation based on fraud and authorization patterns, and leading the team in developing and implementing effective strategies. Collaborate with key Consumer Banking product owners to deliver analytics-driven insights and clear storytelling regarding emerging fraud trends and patterns. Contribute to major technical projects and programs by providing strategic and design recommendations, ensuring alignment with business objectives and that all stakeholder requirements are met. Partner with the CCB Risk Modeling team to enhance machine learning models by refining modeling techniques, identifying new predictive variables, and optimizing the model update cycle. Continually improve internal analytical methodologies and introduce industry best practices to drive enhancements in key business metrics, while fostering collaborative relationships with cross-functional partners to address complex business challenges. Identify business opportunities through comprehensive analysis, including data mining, ensuring data integrity, synthesizing findings, and effectively communicating actionable insights to senior management. Provide concise oral and written communication across various functions and organizational levels including Operations, IT, and Risk Management. Interpreting large volumes of complex data, formulating problem statements, drawing conclusions regarding risk dynamics, trends, and opportunities, and performing ad hoc analyses to deliver updates on key projects to leadership teams. Mentor and manage internal teams and coordinate with external resources such as consultants and vendors. Utilize analytics and support the adoption of machine learning within an organization to solve business problems.

Qualifications

Minimum education and experience required: Master's degree in Business Analytics, Project Management, Statistics, Data Science, Engineering (any) or related field of study plus 5 years of experience in the job offered or as Point of Sale Fraud Strategy, Engineer Data Science, Software Engineer, or related occupation. The employer will alternatively accept a Bachelor's degree in Business Analytics, Project Management, Statistics, Data Science, Engineering (any) or related field of study plus 7 years of experience in the job offered or as Point of Sale Fraud Strategy, Engineer Data Science, Software Engineer, or related occupation.

Skills Required: This position requires five (5) years of experience with the following: Designing, developing, and optimizing SQL queries, including stored procedures, functions, triggers, and views, to extract, transform, and reconcile large datasets from enterprise relational databases; using Python, SAS, and R in performing data acquisition, cleansing, and manipulation to support business intelligence, analytics initiatives, conduct statistical analysis, and building machine learning models including XGBoost; utilizing Python, Statistical Analysis System (SAS), and R to conduct statistical analysis and build machine learning models, including logistic regression, multivariate regression, classification, cohort analysis, associative rule mining, and predictive modeling; applying descriptive, predictive, and prescriptive analytics using SAS and Python to solve business problems and quantify benefits; designing and developing interactive reports and dashboards using Tableau, Power BI, Python, SAS, Hyperion Essbase, Excel, and PowerPoint to translate quantitative information into actionable insights for both analytic and non-analytic stakeholders.

Job Location: 1111 Polaris Parkway, Columbus, OH 43240.

Full-Time.

About Us

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.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive 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. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

About The Team

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.