Data Scientist (Антифрод Discovery)

Data Scientist in Anti-fraud Discovery at Alfa-Bank, 350-500k gross + quarterly bonus, hybrid/remote. Research new fraud detection approaches with ML.

We are looking for a Data Scientist for the Discovery team — the research direction of the anti-fraud platform of Alfa-Bank. Our models help protect financial transactions from fraud and compliance risks in real time. In this role, you will explore new approaches to fraud detection: work with large volumes of transaction data, formulate and test ML hypotheses, build prototypes, and determine which solutions have potential for implementation. Responsibilities: • Dive into the business context of anti-fraud and compliance, study processes, data, and current models • Find growth points and propose new ML approaches • Work with business stakeholders and turn their requests into clearly defined ML tasks • Develop prototypes, run experiments, and evaluate their impact • Work primarily with tabular data and classical ML (but not only) • Justify results and recommend ideas for further development

• Completed higher technical education • Experience in Data Science, strong Python and SQL • Tabular data, classical ML, statistics and A/B testing • Ability to clearly explain technical decisions to business • Interest in research work and independent idea search Nice to have: experience in anti-fraud; PySpark; graphs, time series, neural networks, transformers and LLM; experience with real-time ML

Salary: 350,000–500,000 RUB gross + quarterly bonus. Work format: hybrid or remote.