PwCFinancial Risk Management - Risk Data Transformation Director
PwC is hiring a Financial Risk Management - Risk Data Transformation Director in New York, United States. It pays $155k-$410k a year and Level rates it ; you can apply on PwC.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- The posting mentions visa sponsorship.
- The posting mentions Databricks, SQL and Python among its tools and skills.
- PwC has 3,900+ other open roles on Level.
- Posted within the past week.
AI in this role
Guide financial risk data transformation client engagements focusing on data strategy, governance, and analytics.
Industry/Sector
Banking and Capital MarketsSpecialism
Data, Analytics & AIManagement Level
DirectorJob Description & Summary
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
Travel Requirements
Up to 60%Job Posting End Date
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-glanceAs PwC is an equal 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-workFor 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.How we rate this
Financial Risk Management - Risk Data Transformation Director at PwC rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where risk modeling was part of your work. What did you do?
- Tell me about a project where data quality was part of your work. What did you do?
- Tell me about a project where regulatory reporting was part of your work. What did you do?
- Tell me about a project where data transformation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Governance, Risk Modeling, Data Quality, Regulatory Reporting, and Data Transformation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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