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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.

Job Profile

Position details

The Analyst, Software Engineering will contribute to the design, development, testing, and support of data-driven and AI-enabled applications. The role requires approximately two years of hands-on experience with Python, SQL, REST APIs, AWS services, and modern software-development practices. 

The successful candidate will work with senior engineers, architects, product teams, and business stakeholders to build secure and maintainable application components, integrate enterprise data and services, and develop Generative AI capabilities using AWS Bedrock and related technologies. The role is suitable for an early-career engineer who demonstrates strong fundamentals, curiosity, attention to detail, and a willingness to learn in a regulated financial-services environment. 

Roles and Responsibilities

• Build next-generation AI engineering frameworks, chat agents, and automation capabilities that accelerate software delivery along with building global enterprise-scale data products using AI framework.

·       Develop, test, and maintain Python-based application components, utilities, automation scripts, and data-processing services under the guidance of senior engineers. 

·       Write and optimize SQL queries for data extraction, validation, transformation, reconciliation, and application-support activities across relational databases. 

·       Design, consume, and support REST APIs, including request and response handling, authentication, input validation, error handling, logging, and integration testing. 

·       Contribute to AI-enabled application development using AWS Bedrock, including model invocation, prompt implementation, response processing, guardrails, and integration with enterprise applications. 

·       Assist in building retrieval-augmented generation (RAG), knowledge-base, document-processing, semantic-search, and chat-with-data capabilities using approved data sources and access controls. 

·       Use relevant AWS services such as Lambda, API Gateway, S3, RDS/Aurora, Step Functions, EventBridge, SQS, CloudWatch, IAM, Secrets Manager, KMS, and Bedrock to support cloud-native applications. 

·       Create unit and integration tests, participate in code reviews, troubleshoot defects, and follow secure coding, source-control, CI/CD, and software-development standards. 

·       Work with business analysts, product owners, developers, testers, and support teams to understand requirements and deliver reliable technical solutions. 

·       Create and maintain technical documentation, including API specifications, data mappings, implementation notes, support procedures, and knowledge articles. 

·       Provide production-support assistance by reviewing logs, analyzing application or data issues, documenting findings, and escalating complex problems to the appropriate teams. 

·       Follow applicable information-security, data-protection, responsible AI, change-management, and operational-risk requirements when handling banking data and AI-enabled functionality. 

Job Requirements:

Bachelors’ Degree (or foreign equivalent degree) in Information Technology, Information Systems, Computer Science, Software Engineering, or a related field. Experience in the financial services or banking industry is preferred.

Minimum Qualifications:

·       Bachelor’s degree, or foreign equivalent, in Computer Science, Information Technology, Information Systems, Software Engineering, Data Science, or a related field

·       Approximately 2-4 years of hands-on software-development, data-engineering, application-development, or related technology experience

·       Hands-on programming experience with Python, including functions, classes, exception handling, file and JSON processing, package usage, and automated testing

·       Working knowledge of SQL and relational databases, including joins, aggregations, subqueries, data validation, and basic performance considerations

·       Experience developing or integrating REST APIs and working with JSON-based request and response payloads

·       Practical knowledge of AWS cloud services and serverless application patterns; exposure to AWS Bedrock is required or strongly preferred

·       Understanding of Generative AI concepts such as prompts, tokens, embeddings, vector search, RAG, knowledge bases, model responses, and responsible AI safeguards

·       Familiarity with Git-based source control, code reviews, defect tracking, testing, and CI/CD concepts

·       Ability to analyze technical issues, communicate findings clearly, maintain documentation, and work collaboratively in a team environment

·       Good written and verbal communication skills, attention to detail, and willingness to learn new technologies

·       Experience using the AWS SDK for Python (Boto3) to integrate applications with AWS services. 

·       Exposure to AWS Bedrock model invocation, Knowledge Bases, Guardrails, Agents, or equivalent Generative AI capabilities

·       Experience with FastAPI, Flask, or a comparable Python API framework. 

·       Exposure to PostgreSQL, SQL Server, Oracle, or Amazon Aurora, including basic schema and query troubleshooting

·       Familiarity with vector databases or semantic-search technologies such as Amazon OpenSearch or PostgreSQL with pgvector

·       Understanding of document ingestion, chunking, metadata, embeddings, retrieval, source citations, and response validation

·       Familiarity with Amazon CloudWatch logging and monitoring, IAM permissions, KMS encryption, and Secrets Manager

·       Exposure to Terraform or another infrastructure-as-code tool, containerization, and automated deployment pipelines

·       Experience or interest in banking, credit risk, financial services, or other regulated business domains

Mitsubishi UFJ Financial Group (MUFG) is an equal opportunity employer. We view our employees as our key assets as they are fundamental to our long-term growth and success. MUFG is committed to hiring based on merit and organsational fit, regardless of race, religion or gender.