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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in financial risk data transformation, regulatory reporting, and analytics, utilizing SQL, Python, and data visualization tools. Proven ability to lead data governance initiatives and mentor teams while driving business development in financial services.
Highest-signal resume keywords
Financial Risk Data Transformation LeadershipSQL ProficiencyPython ProgrammingData Governance ExperienceBCBS 239 Risk Data Aggregation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Risk Data ModelingRisk Metrics ApplicationData Analytics SolutionsData Quality OversightData Lineage CapabilitiesData Engineering ApproachesAnalytical Framework DevelopmentRegulatory ReportingData IntegrationScalable Data Pipelines
Soft Skills
Mentoring Emerging LeadersGuiding Executive Client ConversationsShaping Client StrategiesDriving New IdeasComplex Delivery Leadership
Tools & Technologies
DatabricksSnowflakeData Visualization Tools
Certifications & Qualifications
Bachelor's DegreeMaster's of Business Administration (Preferred)
Industry Keywords
BankingCapital MarketsRegulatory ComplianceFinancial ServicesG-SIBsRisk Management
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- 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, analytics, and business decision-making
- Set direction for data analytics solutions supporting regulatory risk, compliance, and financial risk reporting
- Oversee data quality, data governance, and data lineage capabilities for risk data environments
- Translate business and regulatory needs into data engineering approaches, data pipelines, and reporting solutions
- Develop analytical frameworks using SQL, Python, and data visualization tools to uncover risk insights
- Shape client strategies for risk modeling, data integration, and modern analytics platform adoption
- Drive business development opportunities through tailored risk analytics solutions and industry insight
- Guide teams through complex delivery work and mentor emerging leaders across data and risk transformation efforts
- Set direction, shape executive client relationships, drive new ideas, and support growth across the PwC Network
Requirements
What you’ll need- At least a Bachelor's degree
- At least 9 years of experience
- Preference for study in Business Management, Computer Science, Data Science, or Risk Management
- Preference for a Master's of Business Administration
- Experience 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
- Risk data transformation leadership within financial services
- Ability to translate regulatory risk concepts into data and analytics solutions
- Experience driving data governance, data quality, and lineage initiatives
- Experience with SQL, Python, Databricks, Snowflake, and scalable data pipelines
- Ability to guide executive client conversations across complex engagements
- Experience shaping growth strategies and mentoring emerging leaders
- Ability to travel up to 60%
- Must not require, now or in the future, PwC sponsorship through the H-1B lottery, except as permitted by PwC policy
Benefits
Comp & perks- Annual discretionary bonus
- Medical insurance
- Dental insurance
- Vision insurance
- 401k
- Holiday pay
- Vacation
- Personal and family sick leave