Senior client-facing role leading transformation of credit risk reporting for a top US banking client across consumer lending portfolio (secured and unsecured) combining risk analytics with delivery leadership of a large-scale reporting automation program.
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Responsibilities
Key responsibilities:
- Portfolio performance analytics and risk insight - Analyze credit performance across consumer book: identify emerging trends, drivers of delinquency and loss movements, assess performance against risk appetite, connect portfolio outcomes to underlying credit strategy — acquisition quality, line management, and loss mitigation. Author the risk narrative presented to the client's senior risk leadership each cycle.
- Lead the reporting automation program — Manage the end-to-end automation of risk reporting suite in partnership with the data engineering team responsible for the automation: prioritize build, ensure business logic and analytical intent are correctly implemented, and own validation and sign-off on automated outputs.Â
- Own client engagement — Manage senior risk stakeholders, drive program roadmap, and be accountable for delivery.
Qualifications
Qualifications:Â
- Min. 4 years of consumer credit risk analytics experience at a bank or consumer lender, spanning portfolio analytics, credit strategy, performance reporting and risk appetite frameworks
- proven ability to present and defend risk positions with senior stakeholders
- SQL (mandatory) / Python proficiency preferred
Familiarity with modern data environments (Databricks/Snowflake) and experience guiding reporting automation or analytics modernization preferred
Base Compensation Range: $130,000- $145,000
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
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EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.
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