Develop and enhance predictive and statistical models to assess seller risk, credit exposure, fraud, reserves, and negative balances
Lead end-to-end analytics for initiatives such as seller lending, payout optimization, cash-flow management, and Marketplace financial services
Apply advanced statistical methods to large, complex datasets across payments, orders, fulfillment, and shipments to solve risk and financial performance challenges
Build scalable risk frameworks and translate analytical insights into clear decision rules and automated controls
Establish strong model validation and monitoring practices to ensure performance, stability, and accuracy
Create dashboards and reporting to track risk trends, losses, model performance, and payments SLAs
Identify and integrate high-impact data sources to strengthen risk signals and improve model effectiveness
Optimize key metrics such as loss rates, false positives, reserve coverage, and operational efficiency through structured testing and analysis
Partner with Product, Engineering, Trust & Safety, Seller Risk & Performance, Finance, and Treasury to influence the payments analytics roadmap
Contribute to a high-performing analytics team by upholding strong standards of statistical rigor and execution

Bachelor’s degree in a quantitative field (Statistics, Computer Science, Engineering, Finance, Business Analytics, or related) with 4+ years of experience in data science or advanced analytics; or Master’s degree with 2+ years of relevant experience
Experience leading end-to-end advanced analytics or data science projects, experience developing and validating predictive or statistical models preferred
Domain experience in payments, marketplace, eCommerce, financial services, credit risk, fraud, or risk analytics
Strong analytical skills with the ability to translate business problems into data-driven solutions
Advanced SQL skills and experience working with large datasets and proficiency in Python (or similar) for data analysis and statistical modeling; experience with Spark or Hive preferred
Familiarity with data visualization tools such as Tableau or Looker
Strong communication skills and ability to work cross-functionally in fast-paced environment.

Health benefits include medical, vision and dental coverage.
Financial benefits include 401(k), stock purchase and company-paid life insurance.
Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Senior Manager, Data Analytics – Marketplace Payments

Key skills