Hiring Strategic Analytics – Senior Associate | Mumbai

JPMorganChase Recruitment 2026: Strategic Analytics – Senior Associate (Mumbai)

JPMorganChase is hiring a Strategic Analytics – Senior Associate for its Digital Fraud Strategy team within the Consumer & Community Banking (CCB) Risk Management division in Mumbai, Maharashtra.

This role requires 5+ years of experience in analytics, data science, or risk management. The position is central to protecting Chase customers and payment channels—such as Zelle, wire transfers, ACH, bill pay, and real-time payments—by leveraging advanced data analytics, machine learning strategies, and rule automation to mitigate fraud losses while maintaining a smooth user experience.

Job Overview

Key Responsibilities

• Digital Fraud Strategy Development: Own the end-to-end fraud loss management process across payment rails (Zelle, ACH, Wires, Real-Time Payments, and Bill Pay).

• Data Mining & Trend Analysis: Analyze large, complex datasets to detect emerging digital fraud patterns, anomaly behaviors, and systemic vulnerabilities.

• Rule Optimization & Automation: Build, test, and automate high-accuracy fraud detection rules and alerts to minimize false positives and control operational loss.

• P&L & Financial Impact Modeling: Maintain a firm grasp on P&L drivers, evaluating the financial impact and ROI of proposed fraud prevention mechanisms.

• Experimentation & A/B Testing: Design, run, and evaluate analytical experiments to measure strategy performance and impact on customer friction.

• Cross-Functional & Agile Execution: Work within agile frameworks alongside product management, engineering, and digital threat teams to deploy new fraud detection capabilities.

• Executive Communication: Translate complex machine learning outputs and risk analytics into actionable insights and concise presentations for senior leadership.

Candidate Qualifications & Requirements

Required Qualifications (Must-Have)

• Experience: 5+ years of progressive professional experience in analytics, risk management, or data science.

• Programming Skills: Hands-on proficiency in analytical languages such as Python, SQL, R, or SAS.

• Data Visualization & Tools: Advanced capabilities in Excel and PowerPoint for business decision-making and executive presentations.

• Analytical Skills: Demonstrated track record of processing massive data structures, executing experiment designs, and translating findings into strategic recommendations.

Preferred Qualifications

• Specialized domain experience in digital payments, retail banking fraud detection, or financial services risk.

• Practical understanding of machine learning models and their deployment within fraud engines.

• Knowledge of agile project management methodologies and P&L financial modeling.

• Experience integrating vendor risk feeds and internal transactional data pipelines.

About JPMorganChase

JPMorganChase & Co. is a leading global financial services firm and one of the oldest banking institutions in the United States, with a history spanning over 200 years. Serving millions of consumers, small businesses, and global corporate clients under the J.P. Morgan and Chase brands, the firm holds leadership positions in investment banking, financial transaction processing, asset management, and consumer banking.

The Consumer & Community Banking (CCB) division delivers personal banking, credit cards, mortgages, and payment processing services, backed by an independent Risk Management organization that maintains robust controls across evolving global financial environments.