Our Latest Vacancies

Quantitative Developer

£50,000 - £60,000
Greater London

Quantitative Developer

£50,000 - £60,000

Canary Wharf – Hybrid working (WFH 3 days/week)

Are you an experienced Quantitative Developer? My client, a rapidly expanding not-for-profit private Renewable Semiconductor Manufacturing company are facing the urgency of Net-Zero, their taking on new schemes within the nuclear, CCUS and hydrogen space to further help the UK combat the growing challenge within the UK’s energy environment. They are in search of exceptional Developers to join their expanding team. As a Quantitative Developer you will play a critical role in designing, developing, and maintaining our scheme forecasting models and analytical tools, as well as the publication of supporting technical documentation.


  • 25 days' annual leave and bank holidays
  • Company contribution to your pension scheme
  • Family friendly policies, including enhanced company maternity/paternity and shared parental benefits
  • Employee assistance programme for free, confidential support for your professional or personal life, including financial management and family care.
  • Special leave such as study leave, sabbatical or public duties
  • Three days paid leave a year for volunteering to support your local community
  • Season ticket loan scheme to support your commute
  • Access to “Work Perks” offering deals, discounts and cash back on your purchases
  • Family savings on days out and English Heritage or gym discounts through our partners.

The ideal candidate for the Quant Developer role will combine an understanding of energy market fundamentals with state-of-the-art algorithm building and optimisation techniques. They will be required to take on complex challenges with a sense of urgency and enthusiasm, developing and communicating insights in a clear and succinct way.

Key Responsibilities

  • Design and build short and long-term energy models in-line with best software engineering practices
  • Manage, test and deploy both bug fixes and updates to existing models, validating and tracking development tasks in Jira and GitLab
  • Work with analysts to gather requirements, design tests and scope new projects
  • Create and update technical documentation
  • Explore and clean datasets required for modelling purposes with a focus on optimising data pipelines
  • Identify streamline and optimise inefficient processes
  • Prepare and deliver presentations and visual materials that effectively communicate software design decisions and model logic to non-technical stakeholders

Skills Knowledge and Expertise

  • A good first degree or higher degree in a highly numerate subject is essential
  • Minimum 2 years' experience in Python development, including scientific computing and data science libraries (NumPy, pandas, SciPy, PySpark)
  • Solid understanding of object-oriented software engineering design principles for usability, maintainability and extensibility
  • Experience working with Git in a version-controlled environment
  • Good knowledge of parallel computing techniques (Python multiprocessing, Apache Spark), and performance profiling and optimisation
  • Good understanding of data structures and algorithms
  • An enthusiastic problem-solving mindset with a desire to solve technical problems and model/forecast intricate real-life systems
  • The ability to communicate complex technical concepts to those with little or no technical background in a meaningful, relevant and engaging manner
  • Experience with cloud platforms desirable (Azure, AWS or GCP)
  • Experience working with Machine Learning libraries (scikit-learn, PyTorch) and statistical techniques is desirable
  • Knowledge of the electricity market is desirable

Additional Information:

Flexible working: Informal flexible work patterns subject to line manager discretion including a 9-day fortnight.

Visa sponsorships: Our client does not sponsor visas currently so you will need to hold a valid UK passport or a valid visa to work in the UK.

Reports to: Quantitative Developer Manager

Hours: Full-time, 37.5 hours


Apply now and we can discuss this in more detail and provide you with a more detailed job description.

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