Description
Quant Developer - AI/ML Greenfield Project
Location: London, UK (Hybrid)
Contract Type: 12-Month Contract (Inside IR35)
Start Date: July 2025About the Role
We are partnering with a leading hedge fund embarking on a cutting-edge greenfield initiative to build a next-generation AI/ML-driven investment platform. This is a rare opportunity to join at inception and shape the architecture, tooling, and models that will drive alpha generation and risk management for years to come.
As a Quant Developer, you will work at the intersection of quantitative research, machine learning, and software engineering. You'll collaborate with quants, data scientists, and portfolio managers to design and implement scalable systems for data ingestion, model training, and real-time signal deployment.Key Responsibilities
If this could be interesting for you, please apply at your earliest convenience. We look forward to hearing from you.
Location: London, UK (Hybrid)
Contract Type: 12-Month Contract (Inside IR35)
Start Date: July 2025About the Role
We are partnering with a leading hedge fund embarking on a cutting-edge greenfield initiative to build a next-generation AI/ML-driven investment platform. This is a rare opportunity to join at inception and shape the architecture, tooling, and models that will drive alpha generation and risk management for years to come.
As a Quant Developer, you will work at the intersection of quantitative research, machine learning, and software engineering. You'll collaborate with quants, data scientists, and portfolio managers to design and implement scalable systems for data ingestion, model training, and real-time signal deployment.Key Responsibilities
- Design and develop robust, high-performance systems for AI/ML model development and deployment.
- Collaborate with quantitative researchers to translate trading strategies into production-ready code.
- Build and maintain data pipelines for structured and unstructured financial data.
- Implement backtesting frameworks and simulation environments.
- Optimise model inference and execution latency for real-time trading.
- Contribute to architectural decisions and technology stack selection for the greenfield platform.
- Strong programming skills in Python, with experience in production-grade systems.
- Solid understanding of machine learning workflows, including model training, validation, and deployment.
- Experience with quantitative finance, including time series analysis, alpha modelling, or risk analytics.
- Familiarity with cloud infrastructure (e.g., AWS, GCP) and containerisation (Docker, Kubernetes).
- Proficiency with data engineering tools
- Experience working in fast-paced, collaborative environments with agile methodologies.
- Prior experience in a hedge fund, prop trading firm, or investment bank.
- Exposure to reinforcement learning, deep learning, or LLMs in financial contexts.
- Knowledge of market microstructure and execution algorithms.
- Duration: 12 months
- Start Date: July 2025
- Location: London (Hybrid working model)
- IR35 Status: Inside IR35
- Day Rate: Competitive, based on experience
If this could be interesting for you, please apply at your earliest convenience. We look forward to hearing from you.