Credit Risk Strategy- Credit risk analytics – (SAS/SQL)

Location: Gurgaon
Discipline: Research, Banking & Financial Research, Technology, Risk Analytics, Python Engineer
Job type: Permanent
Contact name: Gurpreet Kaur

Contact email: gurpreet.kaur@crescendogroup.in
Job ref: 37434
Published: 1 day ago

Credit Risk Strategy- Credit risk analytics – (SAS/SQL)

An exciting opportunity for the one having experience in Designing, analyzing and monitoring credit risk strategies for different loan products such as personal loans, auto loans, etc. A perfect role fit for the one having experience in SAS or SQL and knowledge of Banking / Financial Services Industry.

 

Location: Gurgaon/Bangalore

 

Your future employer An American multinational professional service company mainly involved in the operations management and analytics. It offers insurance, banking, financial services, utilities, healthcare, travel, transportation and logistics services

 

 

Responsibilities:

  • Designing, analyzing, monitoring credit risk strategies for different loan products such as personal loans, auto loans, etc.

  • Identifying the opportunity areas for portfolio growth and pro-actively communicate with stakeholders

  • Collaborating across other risk functions (example – technology, product, etc.) to implement the analytical decisions

  • Understanding existing underwriting rules, strategies and replicate them in business rules using SAS/SQL

  • Designing and analyzing income, employment, fraud verification strategies

  • Developing, maintaining and improving risk policies, strategies, processes and procedures within the assigned function

  • Utilizing application, bank and bureau information to derive business insights

 

Requirements:

  • Knowledge of and certifications in programming, SAS/SQL/Python

  • Knowledge of best practices in coding, data manipulation and creating re-usable artifacts

  • Knowledge of Banking / Financial Services Industry with preference in lending space (Personal Loans, Credit Cards, Auto loans etc.)

  • Ability to create recommendations and insights from data for developing risk strategy

  • Experience with creating and utilizing credit risk datamarts using internal and third party data (Experian, FICO, etc.)

  • Ability to design the right KPIs for measuring strategy success

  • Understanding of various elements of risk strategy, such as eligibility, verification, fraud and decline criteria.

 

What is in it for you?

  • Work in diverse culture and global team

  • Grow in culture focused on training and mentoring

  • Work in a fast-paced environment in an established brand



Reach Us:

If you think you are perfect fit for this role, kindly drop me an email along with your updated CV at gurpreet.kaur@crescendogroup.in