Quantitative Developer – Trading – MLOps/Python
Posted 3 days ago by Alexander Ash Consulting
£200,000 Per year
Inside
Undetermined
London Area, United Kingdom
Summary: The role of Quantitative Developer involves building MLOps workflows and pipelines for trading desks at a hedge fund, requiring a blend of software engineering and quantitative development skills. The ideal candidate will have extensive experience in financial markets and proficiency in Python, along with a solid foundation in Java, C++, or C#. This position is critical for enhancing production systems and delivering strategic solutions to various stakeholders within the trading environment.
Key Responsibilities:
- Develop MLOps workflows and pipelines for trading desks.
- Deliver solutions directly for trading desks, enhancing production systems.
- Collaborate with data scientists, AI engineers, quants, and traders.
- Build strategic systems to support trading and pricing activities.
Key Skills:
- 10+ years of software engineering or quantitative development experience in financial markets.
- Excellent Python skills, including libraries such as NumPy, PyTorch, TensorFlow, and Scikit.
- Strong object-oriented programming background in C++, Java, or C#.
- Experience with MLOps and AI/ML model lifecycle.
- Strong financial product knowledge.
- Degree educated or higher in a relevant discipline from a leading academic institution.
Salary (Rate): £900.00/day
City: London
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Quantitative Developer – Trading – MLOps/Python A hedge fund is building out their AI capability and have an opportunity for a quantitative developer to play a key role in building out MLOps workflows and pipelines for the trading desks. This role is ideally suited to a software engineer or quantitative developer with experience delivery solutions directly for trading desks, who has excellent Python skills, with a solid background in one of Java/C++/C#, who has experience building MLOPs pipelines for data scientists, AI engineers, quants, traders and leadership, to build strategic systems and enhance production systems. You should apply for this role if you are/have: 10+ years software engineering / quantitative development within financial markets Excellent Python (NumPy, PyTorch, TensorFlow, Scikit); solid OO background in C++, Java or C# Strong MLOps and AI/ML model lifecycle experience Strong financial product knowledge and experience delivering solutions for trading/pricing Degree educated or higher in a relevant discipline from a leading academic institution This is an £800-900/day PAYE role based London initially for six months.