Credit Risk Data Governance & Controls, Analyst

Job Summary – Credit Risk - Data Governance and Controls Analyst

We are on an exciting journey to improve the quality, control, and accessibility of our risk and business data to enable timely, well-informed credit risk decisions. This role is ideal for candidates with 2+ years of experience in financial services credit risk environment (e.g., underwriting support, portfolio monitoring, or credit administration) who are curious, organized, and comfortable partnering with stakeholders. The selected candidate will help ensure that Credit Risk data is clearly defined, understood, and used consistently across the organization—including exposure, obligor/borrower attributes, collateral, ratings, and loss data.

They will partner with credit risk stakeholders to document data meaning, ownership, and controls; identify data quality issues or risks; and support improvements to data quality.

• Partner with credit risk business teams (e.g., underwriting, portfolio management, credit administration, finance) to understand how credit risk data is entered into systems and managed
• Help document and clarify credit risk data definitions, business rules, and ownership
• Support data quality and issue management activities for credit risk
• Ask thoughtful questions to identify gaps, inconsistencies, or unclear credit risk processes
• Assist in preparing clear summaries, presentations, and documentation for credit risk business teams and leadership audiences (e.g., data issue themes, operational impacts, and remediation status)
• Learn and apply data governance standards, policies, and best practices

We are looking for candidates with 2+ years of experience in financial services with credit risk, underwriting support, portfolio management, credit operations, or related risk function. Candidates should be comfortable working with business stakeholders to define requirements, document processes, and support issue remediation that improves data quality and controls.

• Strong written and verbal communication, including the ability to explain Credit Risk concepts and data requirements clearly
• Curiosity and willingness to ask questions to validate assumptions, reconcile variances, and surface risk data issues early
• Ability to organize and document complex information (policies, procedures, data definitions, and controls) with strong attention to detail
• Comfort presenting concise updates (issues, impacts, decisions needed) to small groups and senior stakeholders
• Ability to work with different teams and perspectives

• Exposure to data governance
• Data analysis experience including intermediate skills with MS Excel

• Not a developer or engineering role
• Not a reporting or dashboard building‑ role
• No coding, advanced SQL or technical skills required

The typical base pay range for this role is between $78K - $106K 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.

We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws (including (i) the San Francisco Fair Chance Ordinance, (ii) the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, (iii) the Los Angeles County Fair Chance Ordinance, and (iv) the California Fair Chance Act) to the extent that (a) an applicant is not subject to a statutory disqualification pursuant to Section 3(a)(39) of the…