Quant Developer – Python

Quant Developer – Python (NumPy / Pandas) – Hedge Fund

Orbis have partnered with one of London’s top Hedge Funds to hire a team of Quant Developers to build core systems and tools for Portfolio Managers and Quant Researchers.

This is an incredible opportunity to be involved in the Investment decision-making process for one of the most globally renowned Hedge Funds, setting your Quant Developer career up for resounding success.

Your responsibilities in this role will include:

• Taking ownership of production-grade Python systems, inluding trading and portfolio management systems, covering a vast range of asset classes covering the Front Office, Research, Risk and Data
• Building tooling, libraries and technical solutions alongside Researchers and Portfolio Managers for portfolio risk modelling, pricing, and scenario analysis across diverse datasets

Non-negotiable requirements:

• A very strong applied Maths, Statistics or Computer Science background
• Excellent Python software engineering experience with deep experience of NumPy / Pandas, as well as other scientific and AI libraries (e.g. SciPy, Scikit-learn, Statsmodels, Tensorflow, PyTorch, Keras, etc.)
• Proven experience working in a Linux-based environment with solid software engineering practices (testing, code review, CI/CD, refactoring)
• Excellent ability to work closely with non-engineering stakeholders and translate requirements into robust technical solutions

If you feel your experience closely matches the above, please apply with an up to date CV in the first instance