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 data flows for Equities, FX, IRS, Fixed Income, Commodities and SFTs within CITI. \\+ Data analysis for derivatives products and SFTs across systems for target state adoption and resolution of data gaps/issues \\+ Lead assessment of end-to-end data flows for all data elements used in Regulatory Reports \\+ Document current and target states data mapping and produce gap assessment \\+ Coordinate with the business for identifying critical data elements, defining standards and quality expectations, and prioritize remediation of data issues \\+ Identify appropriate strategic source for critical data elements \\+ Design and Implement data governance controls including data quality rules and data reconciliation \\+ Design systematic solution for elimination of manual processes/adjustments and remediation of tactical solutions \\+ Prepare detailed requirement specifications containing calculations, data transformations and aggregation logic \\+ Perform functional testing and data validations \\\\Skills & Qualification\\\\ \\+ 4-7 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 \\+ Understanding of Derivative products (i.e., Equities, FX, IRS, Commodities etc.) and SFTs. \\+ Strong Data analysis skills using Excel, SQL, Python, Pyspark etc. \\+ Experience with data management processes and tools and applications, including process mapping and lineage toolsets \\+ Ability to identify and solve problems throughout the product development process \\+ Analytical 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 tools \\+ Good Understanding of data governance issues, policies, regulatory requirements, and industry information affecting the business environment \\+ Demonstrated stakeholder management skills \\+ Excellent communication skills needs to be able to communicate with technical and non-technical stakeholders to gather requirement and develop clear documentation \\+ Excellent presentation skills, business and technical writing, and verbal communication skills to support decision-making and actions \\+ Excellent problem-solving and critical thinking skills to recognize and comprehend complex data flow and designs. \\+ Self-motivated and able to dynamically determine priorities \\+ Data 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:\\\\ Product Management and Development \-\-\---------------------------------------------------- \\\\Job Family:\\\\ Product Development \-\-\---------------------------------------------------- \\\\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 Citis\\\EEO Policy Statement ()\\\and the\\\Know Your Rights ()\\\poster.\\ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

The role requires 4-7 years of combined experience in banking and financial services, information technology, and/or data controls and governance. A preference is for an Engineering Graduate with a Post Graduation in Finance. Understanding of Derivative products such as Equities, FX, IRS, and Commodities, along with SFTs, is necessary. Strong data analysis skills using Excel, SQL, Python, and Pyspark are essential. Experience with data management processes, tools, process mapping, and lineage toolsets is required. The position also calls for the ability to identify and solve problems, analytical thinking for complex data structures, and strong knowledge of databases, data modeling, and data governance tools. Excellent communication, presentation, and problem-solving skills are also key requirements.