Credit Risk Analytics and Reporting Manager

ExlService Holdings, Inc.; Northern (KY); On-site; USD 100,000 - 140,000; Full time

Job summary

ExlService Holdings, Inc. is seeking a senior client-facing leader to transform credit risk reporting for a top US banking client across consumer lending portfolios, combining risk analytics with delivery leadership of a large-scale reporting automation program.

Build and maintain scalable data pipelines, warehouses, and lakes to ensure accurate, accessible, and secure data for analytics and reporting. Develop data ingestion, transformation, integration, and data quality capabilities.

Qualifications

• Experience leading data-focused transformation initiatives.
• Strong communication with senior stakeholders.
• Proven ability to deliver large-scale data automation programs.

Responsibilities

• Lead the transformation of credit risk reporting for a top US banking client across consumer lending portfolios.
• Build and maintain scalable data pipelines, warehouses, and lakes for analytics and reporting.
• Develop data ingestion, transformation, integration, and data quality capabilities.

Skills

Data pipelines

Data warehouses

Data lakes

Data quality

Data integration

Data transformation

Analytics reporting

Job description

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.

Work Location: Remote, US
Salary Range: $100K/Yr - $140K/Yr Base + Annual Bonus

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

Build and maintain scalable data pipelines, warehouses, and lakes to ensure accurate, accessible, and secure data for analytics and reporting. Develop data ingestion, transformation, integration, and data quality capabilities.