Analyst – Data Products and AI Enablement

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.

Analyst - Data Products and AI Enablement

 

Job Summary

The Analyst - Data Products and AI Enablement

is an early-career engineering role within the Chief Data & AI Office focused on developing data pipelines, AI-powered applications, and cloud-based data services that support the bank’s business, operational, reporting and analytics priorities. The role works closely with senior AI and data engineers, data scientists, product teams, and business stakeholders to transform enterprise data into secure, scalable, and actionable AI and data solutions. The ideal candidate combines strong software engineering fundamentals with hands-on experience in Python, SQL, cloud platforms, APIs, data engineering, and generative AI, and is eager to apply these capabilities to complex banking use cases.

 

Major Responsibilities

• Develop and maintain data pipelines, APIs, and microservices that ingest, transform, validate, and deliver structured and unstructured banking data.
• Build and enhance AI-powered data solutions, including LLM applications, RAG pipelines, semantic search, document intelligence, embeddings, and AI-agent workflows.
• Develop Python-based services using frameworks such as FastAPI and deploy solutions using cloud-native technologies including AWS Lambda, ECS, containers, and serverless platforms.
• Build document-processing and intelligent automation solutions using technologies such as AWS Bedrock, Textract, Snowflake Cortex, and LLM APIs.
• Develop data ingestion, transformation, chunking, embedding, indexing, and retrieval workflows for enterprise AI applications.
• Build lightweight user interfaces and internal applications using React, Streamlit, or similar frameworks to make data and AI capabilities accessible to business users.

 

Qualifications

Required

• 1-3 years of experience in software engineering, data engineering, analytics, or technology-related roles.
• Basic to intermediate proficiency in Python and SQL.
• Exposure to cloud platforms, APIs, databases, data pipelines, or modern software development practices.
• Foundational knowledge of AI, machine learning, data engineering, or analytics concepts.
• Strong analytical, problem-solving, communication, and teamwork skills.

Preferred

• Exposure to Kafka, Airflow, Spark, Kubernetes, AWS, or similar technologies.
• Experience gained through internships, academic projects, or professional work related to data and AI solutions.
• Financial services experience is a plus

 

Core Expertise

Python & SQL | AI/LLMs | RAG | Vector Search | Embeddings | Data Engineering | APIs & Microservices | AWS | AWS Bedrock |Snowflake | FastAPI | Document Intelligence | LangChain | Cloud-Native Development | Serverless Architecture |React | Docker | Git/CI/CD

 

The above statements describe the general nature and level of work performed. They are not intended to be an exhaustive list of all responsibilities, duties, and qualifications required.

             

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: $ 85-126K
• Non–New York / New Jersey: $ 85-123K

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.