Discipline : Banking
Subsector : Analytics
Location : Bangalore
About our Client:
Our Client is a large MNC bank with market leading position in retail banking products like credit cards, mortgage, auto loans etc. across all major markets in which they operate. As part of expansion of their global analytics team, they are looking for a seasoned analytics professional who can play a critical role in their Analytics team developing quantitative and predictive models and support the global team.
Job Description:
Reporting into Team Lead, you would be responsible for:
- Building loss distribution models to quantify risk as a part of Basel 2 capital project for the retail asset portfolio of the bank using advance analytical techniques like correlation modeling, loss distribution fitting, Monte Carlo simulation model development etc.
- Validate the models to ensure input data integrity and bench-marking of model design choices.
- Consult with business partners to develop and implement statistical solutions and models.
- Model monitoring and making recommendations on model performance.
The Successful Candidate:
- You should have at least 3 to 6 years of work experience in quant modeling or predictive modeling using SAS.
- You must have strong academic background with Master's or Bachelor's degree in Mathematics or Engineering from IITs or MBA from IIMs.
- Strong communication skills and should managed people in projects.
- Prior experience of working in a financial services organization is preferable.
What's on Offer:
- This is an excellent opportunity to develop your career within one of the prestigious firms. They provide excellent career path and a high level of internal mobility (internationally) for the successful employees. Besides our client can offer a dynamic and exciting work environment with constant challenges opportunities.
- Candidates with the right attitude and experience will be offered a highly competitive package.
The Apply Button will redirect you to Michael Page's website. Please apply there as well.
Didn’t find the job appropriate? Report this Job