Quantitative Developer

Aubay is seeking a self-reliant Quantitative Developer to join our client’s growing quant engineering capability centre, which supports our client’s gas and power trading business with quant engineering solutions.
In this role, you will be part of an IT product development team, working closely with traders and quant analysts to productionise their models into software applications to help support trading decisions in line with best practice software engineering processes and architecture patterns.
You will develop software applications in Python to transform, scale, and productionise a range of quantitative financial models that leverage our Azure platform, working as part of a product development team in support of front-office quant analysts for gas and power trading.
An analytical mindset is essential to be able to collaborate effectively with analysts and quants, as well as strong foundations in core programming languages, including Python. We expect you to be skilled in technologies and practices such as application design, testing, deployment, cloud technologies, source control technologies, CI/CD, etc.
Tech Stack You Will Be Working With Python with Python scientific stack/ecosystem (including pandas, numpy, scipy, stats), and a second strongly typed language (e.g.: C++, Rust or Java).Required Skills and Experience5+ years’ work experience as a software developer, with at least 2 years of experience productionising and releasing quantitative models.Degree level in STEM, computer science, engineering, mathematics, or a relevant field of applied mathematics.Good understanding of Trading terminology and concepts (incl. financial derivatives), preferably gained from experience working in a Trading of Finance environment.Expert in core Python with Python scientific stack/ecosystem (including pandas, numpy, scipy, stats), and a second strongly typed language (e.g.: C++, Rust or Java).Skilled in application design, security, release, testing and packaging.Experience with SQL / no-SQL databases, data pipeline orchestration tools.Knowledge of concurrent/distributed programming and performance optimisation methods.Experienced in Cloud Technologies – Azure / AWS.Experienced in Source Control Technologies (including GitHub, Azure DevOps), CI/CD and Test Automation.Mathematics skills, experience working with quantitative methods / probabilistic modelling, preferably in the context of financial derivatives valuation.Ability to translate trader or quant analyst’s needs into software product requirements.Able to work in a fast-paced front office environment and communicate directly with analysts and traders.Ability to apply an analytical thought process and process complex information.Role ResponsibilitiesProductionise quant models into software applications, ensuring robust day-to-day operation, monitoring and back testing are in place.Translate trader or quant analyst’s needs into software product requirements.Prototype and implement data pipelines.Co-ordinate closely with quant analysts during the development of models.Produce accurate, performant, scalable, secure software and support best practices following defined IT standards.
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