at J.P. Morgan
Bulge Bracket Investment BanksPosted 7 days ago
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**Credit Risk Associate - Tech** Leverage your analytics prowess at JPMorgan Chase in Bengaluru, driving efficiency and minimizing credit risk within the Asset Backed Lending team. Key responsibilities include: - Analyze financial metrics and collateral indicators to predict risk outcomes. - Create and maintain executive dashboards adhering to governance standards. - Deliver insightful, data-driven narratives for senior stakeholders. - Enhance data quality and automate reporting processes using tools like SQL, Tableau, and Python. - Employ AI/ML for variance detection and integrate findings into risk management. Candidates should hold a relevant degree and possess 3+ years of analytics experience, preferably in financial services. Proficiency in data manipulation tools and strong communication skills are essential.
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Full Job Description
Location: Bengaluru, Karnataka, India
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
