Financial Risk Management - Risk Data Transformation Senior Associate

PwC; Chicago (IL); On-site; USD 77,000 - 202,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401k

Paid time off

Job summary

PwC in Chicago is seeking a Financial Risk Management - Risk Data Transformation Senior Associate to help shape data and analytics work for financial risk and regulatory priorities within Advisory. You will analyze complex problems, manage workstreams, and mentor others while delivering thoughtful data-driven solutions.

The role emphasizes business intelligence, data transformation, and risk-focused analytics to improve reporting, strengthen decision-making, and adapt to evolving risk needs.

Qualifications

• Bachelor's degree required
• At least 3 years of experience required

Responsibilities

• Analyze complex financial risk data and translate findings into client deliverables
• Develop data transformation approaches supporting risk, regulatory and reporting initiatives
• Build dashboards, reports and visualizations to communicate trends and recommendations
• Apply Python and data analytics tools to clean, validate, and interpret large data sources
• Support quantitative modeling and analytics for capital, liquidity, credit risk, and ALM
• Collaborate with client teams to understand business needs and refine requirements
• Review work products for consistency and technical accuracy
• Mentor junior team members and guide day-to-day execution
• Identify process improvements and automation opportunities to improve data movement and reporting efficiency

Education

Bachelor's degree

Tools

Python

Job description

The Opportunity

As a Financial Risk Management - Risk Data Transformation Senior Associate you will focus on building meaningful client connections within our Advisory practice, helping shape data and analytics work that supports financial risk and regulatory priorities. As a Senior Associate you will analyze complex problems, manage assigned workstreams, and develop deliverables while using critical thinking, data interpretation, and a clear understanding of the broader business context to guide decisions and support teams.

In this role at PwC, you will apply your knowledge of business intelligence, data transformation, and risk-focused analytics to help clients improve reporting, strengthen decision-making, and address changing financial risk needs. You will also review work from junior team members, mentor others, and develop your personal brand while navigating ambiguity and maintaining professional and technical standards.

Responsibilities

• Analyzing complex financial risk data and translating findings into practical insights for client deliverables
• Developing data transformation approaches that support risk, regulatory, and reporting initiatives across banking and capital markets
• Building dashboards, reports, and data visualizations that communicate trends, issues, and recommendations clearly
• Applying Python, data analytics tools, and reporting platforms to clean, validate, and interpret large data sources
• Supporting quantitative modeling and analytics efforts for capital, liquidity, credit risk, and asset-liability management
• Collaborating with client teams to understand business needs, refine requirements, and adapt work as priorities change
• Reviewing work products for consistency, technical accuracy, and alignment with project objectives
• Guiding junior team members through task planning, issue resolution, and day-to-day execution
• Identifying process improvements and automation opportunities that improve data movement and reporting efficiency

What You Must Have

• At least a Bachelor's degree
• At least 3 years of experience

What Sets You Apart

• Preference for at least one of the following fields of study: 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, Science
• Demonstrating coursework or internship exposure in data transformation
• Utilizing analytics tools for risk, reporting, or dashboarding tasks
• Interpreting complex data sets into practical recommendations
• Collaborating across teams in financial services environments
• Navigating ambiguity while supporting client delivery needs

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.