Quantitative Developer

Contract type: Permanent
Hours: Full Time, 37.5 hours per week

Salary: circa £55,000 depending on experience

Location: Birmingham/Leeds

WFH policy: Employees are required to attend the office 2 days/week

Flexible working: Variety of flexible work patterns subject to line manager discretion e.g. Compressed 9-day fortnight.

Reports to: Quantitative Development Manager

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. You will work closely with analysts and stakeholders within the wider business to gather requirements, driving projects from inception to deployment. You will leverage your expertise across object-oriented software engineering, quantitative modelling, cloud computing, and data analysis to help improve the models underpinning our most business-critical cashflow and pricing engines. You will come up with ad-hoc experimental analysis and scenarios to test energy market robustness within our numerical and statistical frameworks.

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. Furthermore, the candidate should be adaptable and curious, with the ability to be versatile in technologies and approaches used, and a strong willingness to learn and develop.

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
  
  Employee Benefits
  
  As if contributing to and supporting work that makes life better for millions wasn’t rewarding enough, we offer a full range of benefits too. Key benefits that may be available depending on the role include:
  
  
• Annual performance based bonus, up to 10%
  
  
• 25 days annual leave, plus eight bank holidays
  
  
• Up to 8% pension contribution
  
  
• Financial support and time off for study relevant to your role, plus a professional membership subscription
  
  
• Employee referral scheme (up to £1500), and colleague recognition scheme
  
  
• Family friendly policies, including enhanced maternity leave and shared parental leave
  
  
• Free, confidential employee assistance, including financial management, family care, mental health, and on-call GP service
  
  
• Three paid volunteering days a year
  
  
• Season ticket loan and cycle to work schemes
  
  
• Family savings on days out and English Heritage, gym discounts, cash back and discounts at selected retailers
  
  
• Employee resource groups
  
  About Low Carbon Contracts Company
  
  The Low Carbon Contracts Company (LCCC) exists to help decarbonise the generation of electricity and make it more affordable for the future. Our work is central to the delivery of the Government’s objective to achieve Net Zero target by 2050.
  
  Please take the time to answer the optional diversity questions
  At LCCC, we are dedicated to fostering a diverse and inclusive workplace where everyone can be their authentic selves and contribute to our mission of advancing a flexible energy future. Our aim is to be reflective of the environments where we operate and truly benefit from a rich tapestry of backgrounds and experiences where everyone thrives which of course make us stronger together. Your diversity data is valuable to us, it helps us understand whether we are effectively connecting with underrepresented groups and realising our diversity aims. Please note that your diversity data will remain anonymised to us as it only feeds into high-level reports not connected to the candidates