Quantitative Developer

Quantitative Developer

Salary - £50,000 - £60,000 per annum. plus annual bonus.

London Location

Quantitative Developer required for a leading non for profit in Canary Wharf. The ideal candidate will be required to take on complex challenges - developing and communicating insights in a clear and succinct way.

As a Quantitative Developer you will play a critical role in designing, developing, and maintaining the scheme forecasting models and analytical tools, as well as the publication of supporting technical documentation.

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.

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

Key Skills, Knowledge & Experience

• A good first degree or higher degree in a highly numerate subject is essential
• 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

Benefits & Pay

• £50,000 - £60,000 basic salary
• 5% annual bonus
• Season ticket loan scheme to support your commute.
• 25 days' annual leave plus bank holidays
• Flexible working policy, working from home 3 days per week.
• Flexible working, you could work your hours to have every other Friday
• Company contribution to your pension scheme
• Enhanced company maternity/paternity and shared parental benefits.
• Special leave such as study leave, sabbatical or public duties
• Three days paid leave a year for volunteering to support your local community
• 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.