AI/ML Quantitative Developer

About the Company

Our client is a leading technology-driven trading firm where engineers and researchers work side by side to uncover patterns in global markets. It’s a collaborative, curious environment where people are encouraged to experiment, innovate, and see the real impact of their work.

Think - the pace of a startup with the depth of a research lab.

About the Role

We’re looking for an engineer who loves building the systems that power AI and machine learning in live trading. You’ll work directly with quantitative researchers to design and refine ML workflows, from data pipelines and feature generation to model training, evaluation, and deployment.

This is a front-office engineering role with genuine impact: your work helps turn research ideas into trading decisions.

Responsibilities

• Build and improve research frameworks and ML pipelines for large-scale model development and backtesting

• Create tools that accelerate experimentation and simulation workflows

• Collaborate with researchers to move models from prototype to production

• Work across deep learning models, research tooling, and live trading systems

Skills & Experience

• Strong programming fundamentals in Python (C++ useful too)

• Experience with ML or DL frameworks such as PyTorch, TensorFlow, or JAX

• Understanding of data structures, algorithms, and distributed computing

• Background in building or scaling research or simulation tools

• Strong communicator who enjoys working closely with researchers and traders