Designation - Data Scientist

Min. Educational Qualification

B.Tech / Bachelors degree in Statistics, Mathematics, Computer Science, Data Science, Artificial Intelligence, or a related field.

Min. Experience required

Minimum 5 years of post-qualification experience, with at least 2 years in applied machine learning on transaction, behavioural, or large-scale structured data

Hands-on proficiency in Python/R, SQL, feature engineering, model validation, and drift monitoring (SAS familiarity an advantage).

Location

Initially at Corporate Office, Recent Delhi (further as per requirement may be deployed at Bangalore, for RBI-IH MuleHunter.AI project)

Detailed Job Description

Analyze large data pertaining to digital payments and customer transaction (UPI, IMPS,



AEPS, Mobile Banking, POS, ATM) to identify fraud patterns and emerging risks.

Develop and deploy AI/ML models for fraud detection, money-mule identification, transaction risk scoring, behavioral profiling and back-testing.

Work directly with Reserve Bank Innovation Hub (RBI-IH) on operationalizing MuleHunter.AI.

Collaborate with Fraud Risk, Compliance, Cybersecurity, and IT teams to translate data into real-time monitoring scenarios, reduce false positives, and build dashboards using SQL, Python/R.

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