Fraud Analytics Role - SAS/R/Python & SQL - Banking

Banking Fraud Analytics with SAS/R/Python and SQL– (2-10 yrs)

We are looking for analytics expert in fraud model development using R/Python/SAS and SQL. Data Scientists with Fraud Analytics/Modelling exp and not operations-Anti Money Laundering, Financial Crime, Banking Fraud, Payment Fraud, Credit Card Fraud, Retail Fraud, Telecom Fraud, Energy Fraud, Insurance Claims Fraud etc

Location: Bangalore

Your Employer: one of the top IT consulting firms in India

Responsibilities:

- Experience in building models using AI/ML methodologies

- Analytical tools such as SAS, R, Python, SQL is preferred

- Focusing on fraud mitigation and adopting best in class fraud analytics solutions and allowing the business to make the appropriate strategic decisions to reduce fraud losses.

- Be a hands on developer in SAS, R, python, SQ:

- Client handling; understanding the nature and purpose of product in order to come up with best solutions to control fraud

Requirements:

- 2-10 years of working experience into banking domain, building fraud models

- Holds engineering degree; computer science preferred

- Hands on experience in SAS, R, Python, SQL, Machine Learning

- At least developed and deployed 2-3 projects in building fraud models

- Strong analytics acumen

- Excellent project management, exceptional multi-tasking and organizational skills

What's in for you?

- High visibility role

- Strong career progression

- Market leading remuneration

Reach me:

If you feel you are suitable for the role please share your cv  or connect with me at 7087413515.