Senior Payments IT Business Analyst (AI & Data Focus), VP

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.

We are seeking a Senior Payments IT Business Analyst with deep expertise in payments technology and data-driven transformation. This role will bridge business, technology, and data/AI capabilities, enabling intelligent decision-making across modern payment platforms.

The ideal candidate brings strong knowledge of payment systems architecture and hands-on experience leveraging AI/ML tools for analytics, reporting, and insights generation to drive efficiency, risk reduction, and enhanced client experience.

1. Payments Technology & Architecture

• Act as a technology-facing Business Analyst supporting payment platforms across:


• ACH, Wire, SWIFT, RTP/FedNow, Cross-border payments


• Understand and contribute to system architecture, APIs, event-driven flows, and data pipelines


• Partner with architects and engineering teams to define scalable, resilient payment solutions

• Leverage AI/ML tools and platforms to:


• Generate insights on payment trends, volumes, and anomalies


• Automate operational and regulatory reporting


• Improve reconciliation, exception handling, and productivity


• Design intelligent dashboards and self-service reporting frameworks


• Use tools such as:


• Python / SQL / Power BI / Tableau


• AI copilots, LLM-based analytics, or enterprise AI platforms


• Enable predictive analytics (e.g., failure prediction, liquidity forecasting, fraud signals)

• Gather and document functional, technical, and data requirements


• Define:


• Data mappings (ISO 20022, SWIFT MT/MX)


• Transformation rules and schemas


• Analyze end-to-end payment lifecycle and identify automation opportunities

• Interface with:


• Business (Treasury, Operations)


• Technology (Engineering, Architecture, Data teams)


• Risk & Compliance


• Lead workshops translating business problems into technology + AI-enabled solutions

• Define and execute test strategies (SIT/UAT) with focus on:


• Payment message validation


• Data accuracy and completeness


• Validate AI/analytics outputs to ensure explainability and auditability

• Ensure solutions meet:


• AML / Sanctions screening requirements


• Regulatory reporting standards


• Incorporate controls within AI-driven processes (model transparency, audit trails)

• 10+ years of experience as IT Business Analyst in payments domain


• Strong understanding of:


• Payments systems (ACH, Wire, SWIFT, RTP/FedNow)


• Payment architectures (hubs, APIs, microservices)


• Hands-on experience with:


• Data analysis tools (SQL, Excel, Python preferred)


• Reporting tools (Power BI, Tableau, etc.)


• Proven experience using AI/ML or advanced analytics for reporting or operational insights


• Experience with Agile delivery models and JIRA/Confluence

• ISO 20022 expertise (MT → MX migration, data enrichment)


• Experience with payment platforms (Finastra GPP, EPP, FIS, etc.)


• Exposure to:


• Cloud (AWS/Azure/GCP) and data platforms (Snowflake, Databricks)


• Event-driven architecture (Kafka, messaging systems)


• Familiarity with:


• GenAI tools (Copilots, LLM-based analytics assistants)


• API-based Open Banking ecosystems

• Strong technology acumen + business translation capability


• Data-driven mindset with focus on automation and intelligence


• Ability to simplify complex systems and present insights clearly


• Proactive mindset in adopting AI for productivity and decision-making

• Drive intelligent payments operations through AI-enabled insights


• Improve:


• STP rates


• Operational efficiency


• Risk detection and compliance monitoring


• Support next-gen payments architecture aligned to ISO 20022 and real-time ecosystems

• Experience with:


• Blockchain / digital assets / tokenized payments


• Smart contract data flows and on-chain analytics


• Exposure to agentic AI / autonomous workflows for operations optimization

•Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience

The typical base pay range for this role is as follows:

• New York / New Jersey: $145k - $188k

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.