As a Quantitative Software Engineer, you will be Joining a high performing team exposed to many of the most exciting business and technology challenges BP faces within its trading businesses today, focussing on maximising value from BP’s assets and operations. Typical solutions include use of advanced optimisation techniques (e.g. Heuristic Optimisation), Machine Learning and simulation-based Reinforcement Learning
You will work closely with Traders and Operators to optimise various aspects of BP's operations, ranging from efficient logistical operations (for example, shipping scheduling), partnering with traders to ensure our portfolios are kept optimal. You will develop a deep understanding of the optimisation algorithms and of the business context in which the team operates.
Most of your time will be focused in writing code, while pursuing software engineering best practices for design, build and test. High-quality documentation, traceability and knowledge sharing is expected.
Additionally, you will work directly with the Optimisation Technical Team Lead on the evolution of the current technology platform in place, as well as the long-term strategy and roadmap for the increased use of optimisation in BP.
This is a unique role well positioned to create substantial value for the business and requires an individual with the right mix of software engineering, quantitative and communication skills.