Financial Risk Management - Risk Data Transformation Director

PwC; Florham Park (NJ); On-site; USD 155,000 - 410,000; Full time

Benefits offered by this job

Annual discretionary bonus

Medical, dental, vision benefits

401k

Holiday pay, vacation, personal and (s

Family sick leave

Job summary

PwC is seeking a Financial Risk Management - Risk Data Transformation Director to guide client engagements on data strategy, governance, quality, reporting, and transformation in banking and capital markets. You will shape executive relationships and mentor future leaders while delivering practical, risk-focused data solutions.

Responsibilities include leading data transformation initiatives, developing data pipelines, and leveraging SQL, Python, and visualization tools to uncover risk insights.

Qualifications

• Bachelor's degree required.
• At least 9 years of experience.
• Experience directing BCBS 239 risk data aggregation and risk reporting programs for large banks.

Responsibilities

• Lead financial risk data transformation initiatives across banking and capital markets client engagements.
• Apply risk data modeling, risk data models, and risk metrics to support regulatory reporting and analytics.
• Set direction for data analytics solutions supporting regulatory risk and reporting.

Skills

SQL

Python

Databricks

Snowflake

Data visualization

Regulatory reporting

Data governance

Executive communication

Education

Bachelor's degree

MBA preferred

Tools

Databricks

Snowflake

Regulatory remediation tools

Job description

The Opportunity

As a Financial Risk Management - Risk Data Transformation Director you will guide client engagements focused on data strategy, data governance, data quality, reporting, and transformation activities within our Advisory practice. As a Director you will set direction, shape executive client relationships, and drive new ideas that connect business needs with technology and risk priorities while mentoring future leaders and supporting growth across the PwC Network. In this role at PwC, you will help clients in banking and capital markets turn risk data into clearer insights, strengthen operating models, and build practical solutions that support informed decision-making and regulatory expectations.

Responsibilities

• Leading financial risk data transformation initiatives across banking and capital markets client engagements
• Applying deep expertise in risk data modeling, risk data models, and risk metrics to support regulatory reporting, analytics, and business decision-making
• Setting direction for data analytics solutions that support regulatory risk, compliance, and financial risk reporting
• Overseeing development of data quality, data governance, and data lineage capabilities for risk data environments
• Translating business and regulatory needs into data engineering approaches, data pipelines, and reporting solutions
• Developing analytical frameworks that use SQL, Python, and data visualization tools to uncover risk insights
• Shaping client strategies for risk modeling, data integration, and modern analytics platform adoption
• Driving business development opportunities through tailored risk analytics solutions and industry insight
• Guiding teams through complex delivery work and mentoring emerging leaders across data and risk transformation efforts

What You Must Have

• At least a Bachelor's degree
• At least 9 years of experience

What Sets You Apart

• Preference for at least one of the following fields of study: Business Management, Computer Science, Data Science, Risk Management
• Preference for a Master's of Business Administration
• Directing BCBS 239 risk data aggregation and risk reporting programs for G-SIBs or large regional banks, including regulatory remediation of MRA and MRIA findings
• Demonstrating risk data transformation leadership within financial services
• Translating regulatory risk concepts into data and analytics solutions
• Driving data governance, data quality, and lineage initiatives
• Leveraging SQL, Python, Databricks, Snowflake, and scalable data pipelines to deliver complex risk and regulatory data solutions
• Guiding executive client conversations across complex engagements
• Shaping growth strategies and mentoring emerging leaders

The salary range for this position is: $155,000 - $410,000. 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.