Job description

Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details. 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. MUFG Benefits Summary 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 Securities and Exchange Act of 1934 or Section 8a(2) or 8a(3) of the Commodity Exchange Act, and (b) they do not conflict with the background screening requirements of the Financial Industry Regulatory Authority (FINRA) and the National Futures Association (NFA). The major responsibilities listed above are the material job duties of this role for which the Company reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of conditional offer of employment, if any. The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified. We are proud to be an Equal Opportunity Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual’s associates or relatives that is protected under applicable federal, state, or local law.

Requirements

Must-haves

Do you want your voice heard and your actions to count?
Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details.
VP, Financial Risk Data Governance.
This role is expected to act as the team-lead or manager for a small team (2-6 individuals).
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
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

Nice-to-haves

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

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Platform: workday
Effort: long

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