Lukas R

About Lukas R

Hello, My name is Lukas. I am a proactive and multi-talented financial data and…

Experience

1. Cross Product VP Data Integration Sr Manager, Chief Data Office, Data Demand and Technology

   Citi

   Aug 2022 — Present · Buffalo, NY, US

   Participate in defining and establishing appropriate data standards, understanding the data needs of regulatory and internal reporting, the acquisition of that data, the financial reconciliation and Data Quality measurement of that data and fixing issues at source through the Issue Management Resolution process and other transformation programs.Analyze unstructured capital markets data to determine the root cause of a balance sheet issue and coordinated the cleanup of data flows for audited federal regulatory reporting.Analyze and resolve balance sheet reconciliation breaks and increase data quality for structure finance trade products such as Repo and Reverse Repo.Coordinates a data migration to onboard new equities and derivative data flows from front capital markets product processors to new a data warehouse that is used for regulatory reporting.Work directly with senior management, technology teams, and the business to improve data quality indicators and critical data elements to improve our data quality scorecard for regulatory and Fed reporting.Work with technology teams, SMEs, and key stakeholders to identify requirements and develop Business Requirement Documents (BRD’s), using use cases, workflow, screen mock-ups, and spreadsheet models. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm\'s reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.Perform reconciliations between reporting ledgers and large data warehouses to ensure data symmetry and completeness of the books and records.