Job
Description
This role is within the enterprise data office and product solution team, focusing on ensuring accurate, timely, and fit-for-purpose data for business, risk management, and regulatory reporting requirements. You will engage with various teams such as Markets, Risk, Finance, Tech, Client org, and Data Engineering Teams to gather requirements, understand application processing, identify gaps, and design systematic solutions for business needs. Your average day will be highly collaborative, involving reaching out to application teams and users to understand Markets products processing in Regulatory Reporting data Flow. You will also be responsible for documenting product data flows along with transformation, mapping, enrichments, and logic within enterprise systems. Key Responsibilities: - Understanding Derivatives data flows within CITI for Equities, FX, IRS, Fixed Income, Commodities, etc. - Performing data analysis for derivatives products across systems for target state adoption and resolution of data gaps/issues - Leading the assessment of end-to-end data flows for all data elements used in Regulatory Reports - Documenting current and target states data mapping and producing gap assessment - Coordinating with the business for identifying critical data elements, defining standards and quality expectations, and prioritizing remediation of data issues - Identifying appropriate strategic sources for critical data elements - Designing and implementing data governance controls including data quality rules and data reconciliation - Designing systematic solutions for the elimination of manual processes/adjustments and remediation of tactical solutions - Preparing detailed requirement specifications containing calculations, data transformations, and aggregation logic - Performing functional testing and data validations Skills & Qualifications: - 6+ years of combined experience in banking and financial services industry, information technology, and/or data controls and governance - Preferably an 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.) - 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 requirements, 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 representations of data models and provide input to UX/UI team to help make it easier to communicate complex model relationships with stakeholders,