Senior Risk Engineer – Credit

Trafigura; Greater London; On-site; GBP 85,000 - 110,000; Full time

Job summary

A leading trading firm in Greater London seeks a Senior Risk Engineer to develop and operate credit risk modeling platforms. This role involves hands-on technical leadership, team management, and strategic platform planning. Ideal candidates will have a strong background in credit risk metrics and advanced Python skills, along with experience in GitOps tooling and database management. The position offers opportunities to work in a fast-paced trading technology environment.

Qualifications

• Proven track record running credit modeling platforms in financial services.
• Experience with high-frequency deployment practices and CI/CD pipelines.
• Demonstrated ability to manage competing priorities across stakeholders.

Responsibilities

• Lead development of credit risk modeling platforms.
• Manage infrastructure using GitOps methodologies.
• Build and lead a team of engineers in Risk technology.

Skills

Credit risk metrics expertise

Advanced Python development skills

GitOps tooling experience

Database skills (SQL/NoSQL)

Tools

GitLab

ArgoCD

Kubernetes

AWS

ClickHouse

Job description

About the job

As a Senior Risk Engineer you will lead the development and operation of credit risk modeling platforms within a fast-paced trading technology environment. This role combines hands‑on technical leadership with team management and strategic platform planning. In this position, you will directly influence the firm's ability to assess and manage counterparty credit exposure across global trading operations, ensuring robust risk controls that protect capital and enable informed trading decisions.

Key Responsibilities

Technical Leadership

• Design, build, and maintain credit modeling platforms supporting principal credit risk, EPE/PFE exposures, and XVA calculations
• Operate within a high‑velocity continuous deployment model (5+ production releases daily)
• Drive technical decisions across the full stack and infrastructure layers
• Evaluate and implement emerging technologies and modern software delivery approaches

Platform Development

• Develop production systems primarily in Python, with front‑end work in React where applicable
• Manage infrastructure using GitOps methodologies including GitLab, ArgoCD, and Kubernetes on AWS
• Design and optimize database solutions using both SQL and NoSQL technologies, particularly ClickHouse
• Ensure platform scalability, reliability, and performance under production trading loads

Leadership & Stakeholder Management

• Build and lead a team of 5+ engineers as part of the broader Risk technology function
• Work directly with multiple business stakeholders to translate requirements into technical solutions
• Define and communicate platform vision and roadmap for short and medium‑term delivery
• Balance business needs with technical sustainability and innovation

Required Qualifications

• Proven track record running credit modeling platforms in a financial services environment
• Strong expertise in credit risk metrics: principal credit risk, EPE, PFE, and XVA modeling
• Experience with high‑frequency deployment practices and CI/CD pipelines
• Advanced Python development skills
• Hands‑on experience with GitOps tooling: GitLab, ArgoCD, Kubernetes, AWS
• Strong database skills across SQL and NoSQL systems; ClickHouse experience specifically required
• Demonstrated ability to manage competing priorities across multiple business stakeholders
• Previous experience leading technical teams (5+ direct reports)

Preferred Qualifications

• Interest in or experience with agentic SDLC approaches and experimental software delivery methodologies
• Track record of bringing innovative solutions to production environments

Equal Opportunity Employer

We are an Equal Opportunity Employer and take pride in a diverse workforce! We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, colour, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or handicap, disability, or any other legally protected status.