VP, Financial Risk Data Governance.The Data Office is on an exciting journey to enhance the quality, control, and accessibility of risk data so business and risk partners can make timely, well-informed decisions. We seek a candidate with deep financial risk domain expertise and a strong understanding of how risk is measured and reported.
This is not a technical or analytics role. The selected candidate will act as a business subject matter expert on financial risk data (i.e., credit risk, liquidity risk, market risk and/or interest rate risk), while partnering with risk stakeholders to improve the clarity, quality and controls on the data.
This role is expected to act as the team-lead or manager for a small team (2-6 individuals).
Key Responsibilities - Define and maintain clear business definitions, usage rules, and ownership for the data
- Ensure data reflects the true business intent and operating reality of financial risk processes across one or more of the following domains: credit risk, liquidity risk, market risk, and/or interest rate risk
- Identify where process gaps, manual workarounds, or inconsistent practices lead to data quality issues
- Help prioritize and resolve data issues
- Support data quality monitoring, reconciliations, root cause analysis, and issue remediation efforts
- Increase transparency into how credit risk, liquidity risk, interest rate risk, and market risk data is sourced, defined and used across the organization
- Lead and develop a team of analysts; coach performance, and ensure consistent execution of data governance processes
Qualifications - 7+ years of experience in financial risk roles (credit risk, liquidity risk, market risk and/or interest rate risk) within a bank
- Ability to explain complex risk concepts to both risk and non-risk audiences
- Strong collaboration, influence, and problem-solving skills
- Excellent communication and stakeholder management skills
- Detail oriented with a strong sense of accountability
Preferred Skills - Exposure to risk data quality, reconciliations, process improvement, or control environments (formal or informal)
- Demonstrated ability to work across teams and drive change without direct authority
- Curiosity and passion for improving how data is managed and used
- Team-lead or people management experience preferred
What this role is not - Not a quantitative model development role (no expectation to build or validate risk models)
- Not a trading role; not responsible for taking market positions
- No coding, modeling, or system development responsibilities
- No requirement for formal data management experience
Education:- Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience
"Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position."The typical base pay range for this role is as follows:
- New York / New Jersey: $ 159-193K
- Non-New York / New Jersey: $ 134-170K
depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below.
Our hybrid work schedule is four days on-site and work remotely one day per week.
