2067990-Senior Manager

EXL; Gurugram District; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

EXL invites a Senior Risk Manager for Loss Forecasting to join our credit risk team in Gurugram. You will build and maintain forecasting models, CECL analyses and stress tests for fintech products, and seek opportunities to automate processes.

You will collect and analyze data to identify risk trends, craft dashboards to track KPIs, and provide analytical support for collections strategies. Strong SQL/SAS/Python skills and experience with Tableau or Excel are required.

Qualifications

• 5+ years in credit, analytics, risk management, data science, or information management.
• Quantitative degree in Statistics, Math, Engineering or Economics.
• Strong SQL/SAS/Python skills.
• Experience with BI tools like Tableau or Excel.

Responsibilities

• Collect and analyze data to identify credit risk trends and drive insights for loss forecasting analytics.
• Craft dashboards to track KPIs around portfolio performance.
• Develop and maintain loss and prepayment forecasting processes for fintech products.
• Extend analytical support to collections strategy and forecasting frameworks.
• Mine loan characteristics to extract insights for the business.
• Develop reports for Senior Management using data visualization.

Skills

SQL

SAS

Python

Data Visualization

Dashboarding

Communication

Education

Bachelor’s or Master’s in a quantitative field

Tools

Tableau

Excel

Job description

About The Role

The Senior Risk Manager, Loss Forecasting will be an organized and motivated team player with a strong sense of ownership. As a key member of the credit risk management team, you will be responsible for creating and tracking appropriate KPIs, developing and maintaining forecasting frameworks and processes, and serve as an active team player in credit reviews. You will develop and maintain forecasting, CECL and Stress Testing models for fintech products and will be expected to find opportunities to enhance and automate existing processes.

What You'll Do

• Collect and analyze data to identify credit risk (delinquency, roll rate, charge-off and prepayment) trends and drive insights to further strengthen loss forecasting analytics.
• Craft dashboards to track KPIs around portfolio performance, including deep diving into credit strategies and their impact on it.
• Develop and maintain loss and prepayment forecasting processes for every consumer product fintech offers.
• Extend analytical support to advance fintech collections strategy and build forecasting frameworks for key collections KPI’s.
• Use analytical techniques to mine loan characteristics/performance data to extract valuable insights for the business.
• Use data visualization techniques to develop relevant reports for Senior Management.
• Track industry environment and competitor landscape to support the business.
• Correlate Macro-Economic conditions with fintech internal loan performance to support recession readiness and long-run planning.
• Leverage forecasting outputs in the monthly allowance process (CECL) and identify areas where qualitative adjustment is needed.
• Support planning and budgeting exercises within the company by leveraging forecasting assumptions and outputs.
• Work closely with key partners to ensure forecast and allowance assumptions are accurate.

About You

• 5+ years of experience in credit, analytics, risk management, data science, or information management.
• Bachelor's or master’s degree with a quantitative background (e.g. Statistics, Math, Engineering, Economics).
• Strong technical skills such as SQL, SAS, Python.
• Experience with BI/data visualization tools (like Tableau or Excel to create dashboards).
• Excellent written and verbal communication skills, including the ability to communicate project scope in documentation and presentation format.
• Experience in the Financial / FinTech industry is a plus.
• Previous experience with loss forecasting and collections analytics, allowance and stress testing is a plus.
• Location Preference: Gurugram / Bengaluru