National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Quantitative Developer

Birmingham
2 months ago
Applications closed

Related Jobs

View all jobs

Postdoc / Scientific Software Developer

Quantitative Researcher (Machine Learning)

Data Scientist

Data Science Manager

Data Science Consultant - Customer Data Modelling

Postdoctoral Fellow: Neurodegenerative Disease Spatial Transcriptomics and Machine Learning

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
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.