Commercial Lending Data & Process Analyst
About The Position
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. Job Summary: We are on an exciting journey to improve the quality, clarity, and consistency of our commercial lending data so business teams can make informed, timely decisions. This role supports that mission by helping document how commercial lending data is created, defined, and used across the organization. This position is ideal for individuals who are curious, detail-oriented, and comfortable communicating with a wide range of partners. The analyst will work closely with business, operations, risk, and technology teams to help ensure commercial lending data is clearly defined, understood, and applied consistently. No prior data governance, technical, or systems experience is required. Training and ongoing support are provided. This role does not involve software development, coding, or the creation of reports and dashboards.
Requirements
- Strong written and verbal communication skills
- Curiosity and a willingness to ask clarifying questions
- Ability to organize information, track details, and follow through on assigned work
- Comfort working with multiple teams and incorporating different perspectives
- Strong analytical, problem-solving, and critical thinking skills
- Ability to explain concepts clearly to peers and leaders
- Bachelor’s degree in business, finance, or related field
- 3+ years of banking or analytical experience preferred
- Strong proficiency in Microsoft Office Suite (Excel, PowerPoint, Word)
- Highly motivated individual who can work independently, manage assigned work, and communicate progress effectively in a remote, cross‑location environment
Nice To Haves
- Exposure to commercial lending, banking, finance, operations, risk, or compliance
- Experience with documentation, coordination, or process improvement efforts
- Interest in how organizations manage data, processes, and decision-making
- Familiarity with data governance or data quality tools (e.g., Collibra)
Responsibilities
- Partner with commercial lending and related business teams to understand how loan data is created, updated, and used across lending processes (e.g., origination, underwriting, servicing)
- Capture and organize business input related to loan data definitions, business rules, usage, and expectations
- Help document and maintain identified data owners and key data elements across loan processes
- Ask thoughtful questions to identify gaps, inconsistencies, or unclear processes that may impact data quality or understanding
- Support data quality and issue management activities, including tracking issues, coordinating follow-ups, and documenting outcomes
- Participate in working sessions focused on improving the management of and understanding of loan data
- Support process improvement efforts by helping document current-state processes and highlighting areas of confusion or inefficiency
- Learn and apply data governance standards, policies, and best practices in day-to-day work
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
5,001-10,000 employees
