Data Scientist

Single PositionExplore a Career With UsView All JobsHybridData ScientistGURUGRAM, Haryāna, IndiaApply NowFind out how well you match with this jobUpload your resumeJob descriptionJob ID26978443Date posted07/21/2026DepartmentDecision ManagementCiti 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 behaviorDesigning, 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 platformsHave extensively worked on advanced programming language & databases (SQL, NoSQL, Teradata, etc.), Python (NumPy, Pandas, etc.), bigdata (Hue, Impala, Ozzie, etc.) and Spark. Communicate complex analytical concepts and results to both technical and non-technical audiencesMaintain an industry leading knowledge of the tools, systems and processes available for best-in-class AML Detection and Monitoring Operations.Validate data, identify data quality issues (if any), and work with Technology to address them.  Analyze and interpret data reports, draw conclusions and make recommendations answering specific business needs.Automate data extraction and data preprocessing tasks. Perform adhoc data analysis. Design and maintain complex data manipulation processes. Provide consistent documentation and presentations.Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessmentDocument solutions and present results in a simple comprehensive way to non-technical audience, as well as write more formal documentation using statistical vocabulary.Generate new ideas, concepts and models to improve methods of obtaining and evaluating quantitative and qualitative data. Identify relationships and trends in data, as well as any factors that could affect the results of research. Question and validate assumptions. Escalate identified risks and sensitive areas in terms of methodology and processes.Qualifications:4+ years of experience in Financial Services / Analytics IndustryHolds good exposure to AI - Gen AI and Agentic AI tools and techniquesStrong Statistical modelling, Data Analytics, analytical aptitude and logical reasoning abilityStrong understanding of current state of the art ML/DL/Gen AI algorithmsGood Knowledge in Python, SQL, HiveMasters in a numerate subject such as Mathematics, Operational Research,...