IT Project Manager - Market Risk

Project ManagerRequired Skills & Experience• 5–10+ years of Project Management experience within technology environments (must be hands-on, delivery-focused) Strong experience working on data-centric or data remediation projects Strong understanding of data governance and controls supporting market risk data (what data is used, created, and governed) Background in financial services with exposure to Market Risk or Risk Technology Strong understanding of: Data flows, lineage, and transformation logic Market risk fundamentals (e.g., Value at Risk (VaR), market vs. credit risk) Able to decompose complex data initiatives into granular, step-by-step project plans Ensures clear validation of data changes, including demonstrating how data is impacted (or not) through end-to-end flows Experience coordinating across cross-functional technical teams and business stakeholders Familiarity with testing processes, data validation, and audit/compliance requirementsNice to Have Skills & Experience Ability to query and analyze data (SQL) Prior experience working at Bank of AmericaJob DescriptionWe are seeking a hands-on Project Manager to lead data remediation initiatives within the Market Risk technology organization. This individual will independently drive delivery across a portfolio of data-focused projects, ensuring accuracy, traceability, and compliance of data used to support market risk calculations.Key Responsibilities: Own end-to-end delivery for data remediation initiatives, managing multiple concurrent efforts (DART tickets) from intake through closure Break down complex data projects into detailed, actionable plans, including sourcing, mapping, transformation, and testing of data Partner with engineering, QA, BA teams, and upstream data providers to resolve gaps and ensure accurate data flow across systems Manage and track work through DART (Data Assessment Resolution Tool), overseeing active tickets of varying size and priority Coordinate with business stakeholders to prioritize work, secure funding, and align on delivery timelines Ensure testing, validation, lineage tracking, and audit/compliance documentation are completed for all data changes Demonstrate how data changes propagate through systems, including validation of expected vs. actual outputs Identify and address data gaps, inconsistencies, and reporting issues impacting market risk calculations Operate in a fast-paced environment where priorities shift based on business needs and regulatory requirements