Financial Risk Management - Risk Data Transformation Senior Associate

PricewaterhouseCoopers•Charlotte, NY

11h

About The Position

As a Financial Risk Management - Risk Data Transformation Senior Associate in PwC’s Advisory practice, you will build client connections and help shape data and analytics work that supports financial risk and regulatory priorities. You will analyze complex problems, manage assigned workstreams, and develop deliverables using critical thinking, data interpretation, and an understanding of the broader business context. You will apply business intelligence, data transformation, and risk-focused analytics to help clients improve reporting, strengthen decision-making, and address changing financial risk needs. The role also involves reviewing junior team members’ work, mentoring others, developing your professional brand, navigating ambiguity, and maintaining professional and technical standards. Travel may be required up to 60% of the time. The salary range is $77,000–$202,000. Actual compensation depends on skills, experience, qualifications, location, and applicable employment laws. Hired individuals are eligible for an annual discretionary bonus. PwC offers medical, dental, and vision coverage, a 401(k), holiday pay, vacation, personal and family sick leave, and other benefits.

Requirements

At least a bachelor's degree.
At least 3 years of experience.

Nice To Haves

Preference for study in one or more of the following 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.
Coursework or internship exposure in data transformation.
Experience using analytics tools for risk, reporting, or dashboarding tasks.
Ability to interpret complex data sets and develop practical recommendations.
Experience collaborating across teams in financial services environments.
Ability to navigate ambiguity while supporting client delivery needs.

Responsibilities

Analyze complex financial risk data and translate findings into practical insights for client deliverables.
Develop data transformation approaches supporting risk, regulatory, and reporting initiatives across banking and capital markets.
Build dashboards, reports, and data visualizations that clearly communicate trends, issues, and recommendations.
Use Python, data analytics tools, and reporting platforms to clean, validate, and interpret large data sources.
Support quantitative modeling and analytics efforts for capital, liquidity, credit risk, and asset-liability management.
Collaborate with client teams to understand business needs, refine requirements, and adapt as priorities change.
Review work products for consistency, technical accuracy, and alignment with project objectives.
Guide junior team members in task planning, issue resolution, and day-to-day execution.
Identify process improvements and automation opportunities that improve data movement and reporting efficiency.