Manager - Fraud Strategy Development - Banking Domain

1. Fraud Strategy

- SAS is Must

- Prior experience in development of fraud strategy is must- 2 to 5 years of risk analytics experience. Preferably in Financial/Banking domain.

- Working knowledge of Fraud strategy is desirable; knowledge in Risk segmentation & monitoring, model building and monitoring, Risk strategies will be required.

- Extensive knowledge end-to-end model building process desirable

- Prior experience with retail banking analytics would be preferable

- Strong working knowledge on Statistical Analysis concepts and application

- Exposure to advance analytics applications preferable

- Strong in analytical problem-solving, good in numbers crunching skills

- Strong communication skills (verbal and written)

- Post Graduate degree in quantitative disciplines (Statistics, Economics, Mathematics, Operations Research, Management Science) preferable

- Proficiency in SAS is mandatory. Hands on experience in R, Python and machine learning techniques is desirable.

- The incumbent would be required to provide analytical support Fraud strategy team across unsecured products and all brands

- Drive fraud risk segmentation project independently and end-to-end that needs not only to work on analytical side but also to deal with project complexities and data challenges

- Provide short term adhoc analysis output as per business question to improve efficiency

- See the 'bigger picture' and be able to understand the impact of various strategies, policies and events

- Complete analysis as required and document results and formally present findings to management.