Job Description
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 and SFT 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
9+ 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 Capital Markets business and processes
Deep understanding of Derivative products (i.e., Equities, FX, IRS, Commodities etc.) Or SFT (Repo, Reverse Repo, Securities Lending and Borrowing)
Strong Data analysis skills using Excel, SQL, Python, Pyspark etc.
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
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, express needs 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 travel required.
• Effort: minimal physical effort required.
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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
- 9+ years of combined experience in banking, financial services, IT, or data controls and governance
- Engineering graduate with post-graduation in Finance
- Extensive experience in Capital Markets business and processes
- Deep understanding of derivative products (Equities, FX, IRS, Commodities) or SFT (Repo, Reverse Repo, Securities Lending/Borrowing)
- Strong data analysis skills using Excel, SQL, Python, PySpark
- Experience leveraging AI-powered tools (AutoML, Python libraries) for data cleaning, analysis, and visualization
- Well versed in Prompt Engineering and automation using GenAI and LLMs
- Experience with data management processes, process mapping, and data lineage toolsets
- Proven track record managing data initiatives including analysis, planning, execution, and production support
- Ability to identify and resolve problems across product development and data flows
- Analytical thinking to decompose complex data structures and build logical models
- Strong knowledge of structured/unstructured databases, data modeling, and data governance tools
- Strong understanding of data governance, policies, regulatory requirements, and industry information
- Demonstrated stakeholder management and cross-functional collaboration skills
- Excellent communication, presentation, and technical/business writing skills
- Data visualization skills and ability to support UX/UI communication of models
- Self-motivated with ability to dynamically determine priorities
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 — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
Citi Insights
What We Do
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.
