Risk Developer – Trading Technology
Location: London**
Function: Trading Technology / Risk Systems Development**
Reports To: Risk Development Lead – Trading Technology, London**
Type: Full-Time, contract, onsite
This global trading organisation operates across physical and financial energy markets including oil, gas, and power. It is known for combining deep market expertise with advanced quantitative and technology capabilities, running global operations across the world's major markets. The environment is high-performing, collaborative, and focused on real-time analytics, automation, and data-driven trading insights.
Overview
The Risk Developer will contribute to the design, build, and maintenance of the firm’s next-generation risk analytics platforms. Working within the Trading Technology team, the role focuses on the development of real-time and end-of-day risk systems used across global trading desks. Collaboration with quantitative developers, risk analysts, and data engineers will be central to delivering performant, scalable tools that underpin Value-at-Risk (VaR), sensitivity, and exposure reporting across multiple asset classes.
Key Responsibilities
Develop and maintain Python-based risk calculation services and engines hosted on AWS (Lambda, ECS, Step Functions, S3).
Build efficient data pipelines for VaR, sensitivities, and stress reporting.
Integrate pricing models, market data, and valuation systems into a unified risk framework.
Work with data engineering teams to ensure high-quality inputs for risk computations.
Implement APIs and microservices exposing risk metrics to trading and reporting platforms.
Write automated unit, integration, and regression tests to maintain production quality.
Use CI/CD tools (e.g., Jenkins, GitHub Actions) for continuous deployment.
Support critical production incidents and improve system resilience through root-cause analysis.
Skills and Experience
Expert-level Python programming, with strong object-oriented design and performance optimisation.
Deep understanding of market risk concepts: VaR, P&L attribution, sensitivities, and stress testing.
Experience building systems in AWS (Lambda, ECS, Glue, CloudWatch, S3).
Proficiency in data engineering tools such as SQL, Pandas, and PySpark.
Familiarity with risk architectures within commodities or derivatives trading environments.
Knowledge of messaging or streaming technologies (Kafka, SNS/SQS) advantageous.
Hands-on experience with Git, CI/CD, and infrastructure automation (Terraform).
Soft Skills
Strong analytical and problem-solving ability, particularly in time-critical trading settings.
Effective communicator with stakeholders across technology, risk, and trading.
Ownership mindset and focus on engineering excellence.
Ability to manage multiple priorities and deliver in fast-paced environments.
Background
5–10 years of software engineering experience, including at least 3 years in risk or trading systems.
Prior exposure to commodities or broader financial markets preferred.
Degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline.
Why This Role Matters
This role plays a key part in developing the technology that drives real-time risk visibility across global energy portfolios. It’s an opportunity to engineer modern, cloud-native systems that sit at the heart of the firm’s trading and risk management ecosystem—balancing cutting-edge development with tangible front-office impact.
