Credit Risk Associate Tech

Bring your expertise to JPMorganChase. As part of Risk Management and Compliance you are at the center of keeping JPMorganChase strong and resilient.As a Global Risk Manager in the Commercial Banking Risk India team you work on automation and transformation projects to promote efficiency minimize credit risk and reduce manual work for the Asset Backed Lending (ABL) team.

Job Responsibilities

• Perform analysis of financial metrics/risk outcomes and collateral/borrowing base indicators (revenue/EBITDA/cash flow leverage coverage liquidity rating migration; availability/utilization advance rates collateral mix eligibility/ineligibles reserves concentrations dilution aging/past dues over-advances variance drivers)

• Build and maintain executive-ready dashboards and monitoring packs that are consistent auditable and aligned to governance and regulatory expectations

• Deliver ad-hoc analyses for senior stakeholders turning ambiguous requests into decision-ready insights and concise narratives

• Improve data quality controls and scalable automation across financial collateral and borrowing base reporting

• Use LLMs responsibly through strong prompting to draft executive narratives and summarize financial and collateral trends adhering to governance and data-handling requirements

• Apply AI/ML (for example anomaly detection and early-warning or predictive indicators) to financial and collateral variance detection and integrate outputs into risk monitoring and reporting

Required Qualifications Capabilities and Skills

• Bachelors or masters degree in Finance Data Science Computer Science Business Economics or a related field

• 3 years of experience in analytics business intelligence or portfolio/credit analytics in financial services

• Proficiency with large datasets and tools such as SQL Tableau Alteryx Python or R

• Ability to produce executive-ready materials and communicate complex findings clearly to senior audiences

• Strong prioritization and stakeholder management skills; proven delivery under time constraints