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Job Overview

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 flow within Citi

Understand Finance 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

  8+ 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

 Perform daily DOD variance analysis across Financial Products, providing granular attribution of movements to market risk factors, trade activity, model changes, and pricing adjustments

 Excellent analytical, technical and/or statistical skills with proven ability to translate large volumes of data

 Design, build, and maintain analytical tools and dashboards to automate variance reporting, reducing manual effort and improving time-to-insight

 Deep understanding of Derivative products (i.e., Equities, FX, IRS, Commodities etc.) and SFT (Repo, Reverse Repo, Securities Lending and Borrowing)

 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

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 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

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Job Family:

Product Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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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.

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