Quant Developer Python (NumPy / Pandas)

Orbis Group; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading Hedge Fund in London is seeking a talented Quant Developer with strong skills in Python, NumPy, and Pandas to build core systems and tools. You will be responsible for developing robust trading systems, collaborating with Portfolio Managers, and helping in the investment decision-making process. The ideal candidate has an applied Maths or Computer Science background and experience in Linux environments. This role provides a great opportunity to advance your career in quantitative development.

Qualifications

• Strong background in Applied Maths, Statistics, or Computer Science.
• Excellent experience in Python software engineering, especially with NumPy and Pandas.
• Proven experience in Linux-based environments with solid software engineering practices.
• Ability to translate non-technical requirements into technical solutions.

Responsibilities

• Take ownership of production-grade Python systems.
• Build tooling and libraries for portfolio risk modelling, pricing, and scenario analysis.

Skills

Applied Maths

Statistics

Computer Science

Python programming

NumPy

Pandas

Linux

Software engineering practices

Technical solutions

Tools

SciPy

Scikit-learn

Statsmodels

Tensorflow

PyTorch

Keras

Job description

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