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 CITI
Data analysis for derivatives products 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
13 + 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 processes
Deep 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 adjustments
Design, build, and maintain analytical tools and dashboards to automate variance reporting, reducing manual effort and improving time-to-insight
AI-Accelerated Data Analysis: Leverage AI-powered tools (e.g., AutoML, Python libraries) to clean, analyze, and visualize data from structured and unstructured sources
Well versed with Prompt Engineering & Automation utilizing GenAI and LLMs
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
Actively managed various aspects of data initiatives including analysis, planning, execution, and day-to-day production management
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
Strong 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
•Working Environment: office setting, minimal travelling and working hours in the office may be required during projects.
• Effort: minimal physical effort required. High levels of prolonged and intense concentration may be required in front of computer.
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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 Citi’s EEO Policy Statement and the Know Your Rights poster.
Skills Required
- 13 or more years of combined experience in banking and financial services, information technology, and/or data controls and governance
- Extensive experience in capital markets business and processes
- Deep understanding of derivative products, including equities, foreign exchange, interest rate swaps, and commodities
- Understanding of securities financing transaction products, including repo, reverse repo, and securities lending and borrowing
- Experience performing daily day-over-day variance analysis across trading books
- Experience designing, building, and maintaining analytical tools and dashboards
- Experience using AI-powered analysis tools, AutoML, or Python libraries
- Experience with prompt engineering and automation using generative AI and large language models
- Strong data analysis skills using Excel, SQL, Python, and PySpark
- Experience with data management processes, tools, applications, process mapping, and data lineage toolsets
- Experience managing data initiatives, including analysis, planning, execution, and production management
- Strong knowledge of structured and unstructured databases, data modeling, data management, iterative development methodologies, and data governance tools
- Strong understanding of data governance policies, regulatory requirements, and industry information
- Demonstrated stakeholder management skills
- Excellent communication, presentation, business writing, technical writing, and verbal communication skills
- Excellent problem-solving, analytical, and critical-thinking skills
- Data visualization skills and ability to represent data models and complex relationships visually
- Engineering undergraduate degree, preferably with postgraduate finance education
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Health coverage is presented as comprehensive, including free in-network preventive care, mental-health resources, and the Be Well Program. Materials also state new hires have access to health and insurance benefits from the outset.
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Retirement Support — The retirement plan offers a $1-for-$1 match up to 6% of eligible pay. New employees are eligible for the plan, with automatic enrollment after 90 days if they do not enroll themselves.
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Inclusive Benefits Coverage — Benefits highlight fertility treatment coverage, adoption/surrogacy reimbursement up to $30,000, and disability coverage. Coverage extends to spouses and domestic partners regardless of gender identity or sexuality, with gender-affirming care-related support noted.
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