Java Software Engineer

Apex Systems; City Of London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Apex Systems seeks a Quantitative Software Engineer to join a high-performing team focused on maximizing value from BP’s assets and operations. You will develop optimization models and production-grade software, engaging with traders to align solutions with business goals.

Primarily you will write robust code, practice software engineering excellence, and contribute to the evolution of the technology platform with a data-driven mindset.

Qualifications

• Requires a quantitative degree with experience implementing advanced algorithms.
• Strong mathematical and numeracy skills.
• Experience in optimization, e.g., LP, TSP with heuristics, or ML.
• Excellent collaboration with traders and operators.

Responsibilities

• Collaborate with Traders and Operators to optimize operations.
• Write high-quality, well-documented code following best practices.
• Develop mathematical models from business requirements.
• Contribute to DevOps practices using AWS, Docker, and Kubernetes.

Skills

Java

GIT

Maven

Jenkins

Spring Boot

RESTful Web Services

Numerical methods

Optimization algorithms

Communication skills

Education

Quantitative degree

Tools

AWS

Docker

Ansible

Kerberos

OpenShift/Kubernetes

Job description

As a Quantitative Software Engineer, you will be Joining a high performing team exposed to many of the most exciting business and technology challenges faced within its trading businesses today, focusing 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 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.

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.

• Advanced knowledge of Java and associated ecosystem (Java 25, GIT, Maven, Jenkins, SpringBoot/RESTful Webservices).
• Strive for excellence and continuous improvement in software architecture, Agile methods and build systems, as well as the underlying optimisation algorithms.
• Ability to work closely with the business, draw out their requirements and create a mathematical model. Strong communication skills with ability to present ideas well graphically as well as verbally.
• Strong mathematical and numeracy skills.
• A quantitative degree – with commercial experience of advanced algorithm implementation.
• Good understanding of Computation al Complexity Theory (EG: Big-O notation).
• Experience in optimisation. Examples include linear programming and solving a TSP using a heuristic approach such as simulated annealing, genetic algorithms or machine learning.
• Experience with DevOps: working with AWS, Docker, Ansible, Kerberos, Openshift/Kubernetes