onsite
Quant Analytics Manager - Fraud Strategy - JPMorgan Chase Bank, N.A.
Software Engineer
Lead advanced analytics for fraud prevention, leveraging Python, machine learning, and AWS to build predictive models that protect the bank’s assets and customers.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models to detect and prevent fraud across multiple channels.
- Collaborate with cross‑functional teams to translate business requirements into analytical solutions.
- Lead data engineering efforts, ensuring high‑quality, scalable data pipelines in AWS.
- Perform statistical analysis and hypothesis testing to validate model performance and business impact.
- Communicate findings and recommendations to senior leadership, influencing strategy and policy.
Requirements
- 5+ years of experience in quantitative analytics or data science within financial services.
- Proficiency in Python, SQL, and AWS services (S3, Redshift, SageMaker).
- Strong background in machine learning, statistical modeling, and fraud detection techniques.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
- Effective communication skills, with experience presenting complex insights to non‑technical stakeholders.
Skills
pythonmachine learningsqlawsdata analysis