Data Scientist

Citi — Gurugram Haryana India

Citi Analytics & Information Management (AIM) team is a global community that objectively connects and analyzes information, to create actionable intelligence for our business leaders. The Anti Money Laundering (AML) Financial Crime Data Analytics and Intelligence (FCDAI) senior analyst (C11 – Individual Contributor) will be a part of AIM, based in Gurugram and reporting into the VP/SVP leading the team. The scope of work includes all aspects of analysis performed by the team within different projects related to AML transaction monitoring using advanced statistical analysis and AI techniques. Senior analysts will be responsible for working on various tools and technologies for successful development and implementation of Machine learning (ML) /AI/Gen AI based solutions on different platforms, analyzing transaction data, and developing models with the objective of identifying suspicious transaction activities. Person also needs to communicate clearly and effectively with business partners and senior leaders. This role requires working closely with business partners based on other geographies that Citi operates in (e.g., NAM, APAC, and LATAM). Requirements include background Experience and knowledge in banking and finance, especially in the AML area will be a plus. In addition, the ability to read and create formal documentation is highly desirable. Responsibilities: Apply quantitative and qualitative data analysis methods; prepare statistical and non-statistical data exploration and advanced statistical analysis to identify suspicious customer behavior Designing, developing and implementing Machine Learning/AI/Gen AI solutions that meet and exceed expectations. Extensive knowledge of code and execution of the current state of art ML/AI/Gen AI algorithms and Generative AI across different coding platforms Have extensively worked on advanced programming language & databases (SQL, NoSQL, Teradata, etc.), Python (NumPy, Pandas, etc.), bigdata (Hue, Impala, Ozzie, etc.) a

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