Java Software Engineer: Wholesale Credit Risk Analytics AI

Citi

Belfast City District

Hybrid

GBP 60,000 - 85,000

Full time

14 days+

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Benefits offered by this job

Generous holiday 27 days + bank hols
Performance bonus
Private medical insurance
Employee Assistance Program
Pension Plan
Parental Leave
Staff discounts
Learning resources

Job summary

Citi Belfast is seeking a Software Engineer for Wholesale Credit Risk Analytics. You will join the Credit Risk Technology team, delivering robust risk management software and supporting global stress testing functions. The role emphasizes clean code, AI-assisted tooling, and adherence to risk and ethics standards.

The position offers a hybrid work model (up to 2 days home per week), a competitive base salary, and comprehensive benefits aimed at work-life balance and professional development.

Qualifications

  • Professional software development experience using modern tooling and AI-assisted coding.
  • Strong knowledge of Java and Spring/Akka-like frameworks for data processing and services.

Responsibilities

  • Contribute to engineering and implementation of software solutions and define project scope.
  • Write clean, efficient, maintainable code within a team.
  • Analyze business processes and system requirements to propose enhancements.
  • Assist in triaging production issues and user questions.
  • Learn and apply Citi risk management, compliance and ethics standards.

Skills

Java
Spring Framework
Apache Flink
SQL
NoSQL
Python
Machine Learning
Agentic AI
Angular
Cloud platforms
GitHub Copilot
Team player
Unix/Windows
Finance domain

Education

Bachelor's degree in software engineering

Tools

GitHub Copilot
Agentic AI tools

Job description

Citi Belfast is seeking a Software Engineer for Wholesale Credit Risk Analytics. You will join the Credit Risk Technology team, delivering robust risk management software and supporting global stress testing functions. The role emphasizes clean code, AI-assisted tooling, and adherence to risk and ethics standards.

The position offers a hybrid work model (up to 2 days home per week), a competitive base salary, and comprehensive benefits aimed at work-life balance and professional development.

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