Job Type: Full time

This role is within enterprise data office and product solution team; focused on ensuring accurate, timely, and fit for purpose data for business, risk management and regulatory reporting requirements.Engage with Markets, Risk, Finance, Tech, Client org, and Data Engineering Teams to gather requirements, understand application processing, identify gaps and design systematic solution for business needs.Average day is highly collaborative, focusing on reaching out to application teams and users to understand Markets products processing in Regulatory Reporting data Flow. Document product data flows along with transformation /mapping/enrichments/logic within enterprise systems.Key Responsibilities:Understand Derivatives and SFT data flows within CITIData analysis for derivatives products across systems for target state adoption and resolution of data gaps/issuesLead assessment of end-to-end data flows for all data elements used in Regulatory ReportsDocument current and target states data mapping and produce gap assessmentCoordinate with the business for identifying critical data elements, defining standards and quality expectations, and prioritize remediation of data issuesIdentify appropriate strategic source for critical data elementsDesign and Implement data governance controls including data quality rules and data reconciliationDesign systematic solution for elimination of manual processes/adjustments and remediation of tactical solutionsPrepare detailed requirement specifications containing calculations, data transformations and aggregation logicPerform functional testing and data validationsSkills & Qualification13 + years of combined experience in banking and financial services industry,



information technology and/or data controls and governance.Preferably Engineering Graduate with Post Graduation in Finance Extensive experience in the capital markets business and processesDeep understanding of Derivative products (i.e., Equities, FX, IRS, Commodities etc.) and SFT (Repo, Reverse Repo, Securities Lending and Borrowing)Perform daily DOD variance analysis across assigned trading books, providing granular attribution of movements to market risk factors, trade activity, model changes, and pricing adjustmentsDesign, build, and maintain analytical tools and dashboards to automate variance reporting, reducing manual effort and improving time-to-insightAI-Accelerated Data Analysis: Leverage AI-powered tools (e.g., AutoML, Python libraries) to clean, analyze, and visualize data from structured and unstructured sourcesWell versed with Prompt Engineering & Automation utilizing GenAI and LLMsStrong Data analysis skills using Excel, SQL, Python, Pyspark etc.Experience with data management processes and tools and applications, including process mapping and lineage toolsetsActively managed various aspects of data initiatives including analysis, planning, execution, and day-to-day production managementAbility to identify and solve problems throughout the product development processAnalytical thinking – ability to break down complex data structures and processes to identify issues and develop logical models that meet business needs.Strong knowledge of structured/unstructured databases, data modeling, data management, rapid / iterative development methodologies and data governance toolsStrong understanding of data governance issues, policies, regulatory requirements,



and industry information affecting the business environmentDemonstrated stakeholder management skillsExcellent communication skills – needs to be able to communicate with technical and non-technical stakeholders to gather requirement and develop clear documentationExcellent presentation skills, business and technical writing, and verbal communication skills to support decision-making and actionsExcellent problem-solving and critical thinking skills to recognize and comprehend complex data flow and designs.Self-motivated and able to dynamically determine prioritiesData visualization skills – can help in creating visual representation of data models and provide input to UX / UI team to help make it easier to communicate complex model relationships with stakeholders------------------------------------------------------Job Family Group: Technology------------------------------------------------------Job Family:Business Analysis / Client Services------------------------------------------------------Time Type:Full time------------------------------------------------------Most Relevant Skills Please see the requirements listed above.------------------------------------------------------Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.View Citi’s EEO Policy Statement and the Know Your Rights poster.

📌 Senior Business Data Analyst - Capital Market- Vice President (India)
🏢 12542 Citicorp Services India Private
📍 India