Software Engineer - Front Office Credit Technology

We are seeking an experienced software engineer to join our Credit Technology team. As a key member of the team, you will work directly with investment professionals and business stakeholders to identify opportunities, prototype solutions quickly, and deliver robust applications that improve trading workflows, portfolio insight, and decision support across Credit Markets.

Responsibilities

• Partner directly with Portfolio Managers, traders, risk managers, and operations teams to understand business needs and translate them into practical technology solutions.
• Design, build, and maintain tools and applications supporting portfolio analytics, trading workflows, risk monitoring, and data-driven decision support across Credit Markets.
• Own the full development lifecycle, including requirements gathering, data analysis, solution design, implementation, testing, deployment, and production support.
• Rapidly prototype new ideas, validate them with users, and evolve successful prototypes into reliable production tools.
• Work closely with technology, quant, and data teams across New York, London, and Bengaluru to deliver integrated solutions.
• Contribute to strong engineering practices, including version control, testing, release discipline, observability, and supportability.

What Success Looks Like

• Front-office users can move from idea to working solution quickly and with minimal friction.
• Manual and spreadsheet-driven workflows are replaced with scalable, supportable applications.
• Portfolio managers and traders have better visibility into portfolio, market, and risk data.
• Tactical tools are delivered rapidly without compromising reliability, maintainability, or production readiness.

Mandatory Requirements

• 5–7 years of professional software development experience, with strong hands-on Python or C++/Java development in business-facing or high-performance environments.
• Strong experience with Python for data-intensive applications, including libraries such as pandas and NumPy.
• Experience building APIs and lightweight applications using frameworks such as FastAPI.
• Proven experience delivering end-to-end solutions, from problem definition and prototyping through deployment and production support.
• Strong analytical and problem-solving skills
• Strong communication skills and confidence working directly with Portfolio Managers
• Ability to work independently, manage competing priorities, and deliver effectively in a fast-paced environment.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative discipline.

Preferred Requirements

• Experience supporting credit businesses, including familiarity with credit products, portfolio analytics, risk concepts, and market data.
• Experience working closely with global teams across technology, quant, and risk functions.
• Experience using modern AI-assisted software development tools and workflows.
• Experience with AWS technologies such as S3, SQS, Batch, and Lambda.
• Experience with DevOps and deployment practices using technologies such as Docker and Kubernetes.
• Familiarity with financial mathematics and statistics.