Citi – Data Scientist

Job Description

Citi is hiring skilled and analytical professionals for the role of Data Scientist within its Decision Management and Specialized Analytics division. This opportunity is ideal for candidates who are passionate about data science, advanced analytics, statistical modeling, and business intelligence within the banking and financial services industry. As one of the world’s leading global financial institutions, Citi leverages large-scale data, advanced analytics, and technology-driven insights to improve decision-making, optimize operations, and deliver better customer experiences. The Data Scientist role offers exposure to enterprise-scale datasets, analytical tools, predictive modeling techniques, and strategic business initiatives that directly contribute to business growth, operational efficiency, and risk management.

The selected candidate will work with large and complex datasets from multiple internal and external sources to identify patterns, generate insights, and support data-driven business strategies. This role involves data collection, cleaning, exploratory data analysis, statistical evaluation, visualization, and predictive analytics using modern data science methodologies. Professionals in this position will collaborate with cross-functional teams across marketing, digital banking, AML, risk management, and operational analytics functions to solve business challenges using quantitative analysis and data-driven approaches. Candidates will gain hands-on experience working with SQL, analytics tools, data visualization platforms, and statistical models within a highly regulated and technology-driven banking environment.

Working at Citi provides employees with access to global-scale financial operations, enterprise analytics platforms, and collaborative teams that drive innovation through technology and data science. The organization encourages continuous learning, professional development, and analytical problem-solving while supporting a flexible hybrid work culture. This role is ideal for professionals seeking career growth in data science, computational statistics, business analytics, and financial technology while working on impactful projects that influence enterprise decision-making across a leading multinational banking institution.

Roles & Responsibilities

• Analyze large and complex datasets from internal and external sources to support strategic business decisions and operational improvements.
• Collect, clean, process, and transform raw data into meaningful datasets suitable for statistical analysis and predictive modeling.
• Perform exploratory data analysis (EDA) to identify trends, anomalies, correlations, and actionable business insights.
• Develop and apply statistical models, machine learning techniques, and analytical methodologies to solve business problems effectively.
• Create dashboards, reports, and data visualizations that help stakeholders understand performance metrics and analytical findings.
• Utilize SQL and related data tools to retrieve, manipulate, and analyze structured and unstructured datasets efficiently.
• Collaborate with teams across marketing, risk management, AML, digital banking, and business operations on data-driven projects.
• Support the implementation of business strategies by evaluating analytical outcomes and recommending data-backed solutions.
• Ensure compliance with organizational policies, regulatory standards, and data governance practices within financial services operations.
• Document analytical processes, data requirements, methodologies, and project findings to maintain transparency and operational consistency.
• Participate in risk assessment activities and contribute to maintaining Citi’s operational integrity and data security standards.
• Continuously improve analytical workflows, reporting accuracy, and business intelligence processes through advanced data science techniques.

Requirements & Eligibility

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative discipline.
• 1–6 years of relevant experience in data science, analytics, computational statistics, or quantitative business analysis.
• Strong analytical and problem-solving skills with the ability to interpret complex datasets and generate actionable insights.
• Hands-on experience with SQL and data manipulation techniques for extracting, processing, and analyzing business data.
• Understanding of statistical analysis, predictive modeling, machine learning concepts, and exploratory data analysis methodologies.
• Familiarity with data visualization tools and dashboarding platforms used for reporting and business intelligence purposes.
• Working experience in quantitative domains such as marketing analytics, financial analytics, AML, digital analytics, or risk analysis is advantageous.
• Ability to work with large-scale structured and unstructured datasets within enterprise analytics environments.
• Strong communication and interpersonal skills with the ability to present analytical findings clearly to technical and non-technical stakeholders.
• Good organizational skills, attention to detail, and adaptability in collaborative matrix-based work environments.
• Familiarity with programming languages such as Python, R, SAS, or related analytics technologies will be considered an added advantage.
• Knowledge of banking, financial services, compliance standards, and regulated enterprise environments is beneficial for this role.

Expected Salary

For Data Scientist roles at leading financial institutions like Citi in India, the estimated salary typically ranges between ₹8 LPA and ₹22 LPA depending on experience, technical expertise, analytical skills, and domain specialization. Candidates with strong proficiency in SQL, machine learning, statistical analysis, and financial analytics may receive compensation toward the higher end of the salary range, along with performance bonuses, hybrid work benefits, and long-term career growth opportunities.

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