Financial Risk Management - Risk Data Transformation Senior Manager

PricewaterhouseCoopers•Charlotte, NY

20h

About The Position

As a Financial Risk Management - Risk Data Transformation Senior Manager, you will lead data and analytics efforts that help clients improve risk reporting, data quality, and decision support across financial risk functions. You will apply sound judgment, guide complex work, and shape outcomes through clear communication, coaching, and strategic thinking while developing teams and supporting client conversations. In PwC’s Advisory practice, you will transform risk data into usable insights, bring structure to complex data environments, and help teams turn business needs into practical analytics solutions. The role serves banking and capital markets clients and covers data and analytics approaches for modernizing financial risk management. Work includes complex initiatives involving capital, liquidity, credit risk, and asset-liability management data, as well as reporting and analytics solutions for regulatory change, risk monitoring, and decision-making. Travel requirements are up to 60%. The salary range is $124,000–$280,000, with actual compensation dependent on skills, experience, qualifications, location, and applicable employment laws. Hired individuals are eligible for an annual discretionary bonus.

Requirements

At least a bachelor's degree.
At least 7 years of experience.

Nice To Haves

Preference for study in at least one of these fields: Accounting; Analytics/Data Science; Biology/Biomedical Sciences; Business Administration/Management; Computer Science/Information Systems; Economics; Engineering; Finance; Financial Mathematics/Quantitative Finance; Health Administration/Public Health; Mathematics/Statistics; Operations/Supply Chain; Project/Technology Management; Risk Management/Insurance; or Science.
Financial risk data transformation experience within banking.
Data analytics and visualization skills applied to risk reporting.
Ability to translate complex risk and regulatory data into clear stories.
Experience leading client-facing workshops across risk, data, and technology teams.
Ability to coach teams through ambiguity while driving process improvement.
Knowledge of risk technology, modeling, and analytics.

Responsibilities

Lead risk data transformation initiatives across banking and capital markets client engagements.
Advise clients on data, analytics, and technology approaches that modernize financial risk management processes.
Manage complex workstreams involving capital, liquidity, credit risk, and asset-liability management data.
Develop analytics and reporting solutions that support regulatory change, risk monitoring, and decision-making.
Apply systems thinking to identify data quality gaps, process inefficiencies, and transformation opportunities.
Guide teams in building scalable data models, dashboards, and automated reporting capabilities.
Validate outputs with clients and adjust deliverables based on feedback and changing business needs.
Coach team members through ambiguous situations while driving progress across multiple priorities.
Communicate clear, compelling findings that connect technical analysis to business impact.
Model professional and technical standards while contributing to diverse, inclusive team performance.