Quant Developer - Credit Technology

Man Group; London; On-site; GBP 60,000 - 85,000; Full time

Job summary

A leading firm in investment and technology is seeking a Quant Developer to enhance their quant-driven strategies. The role focuses on developing cutting-edge tools for backtesting, risk modeling, and facilitating quantitative insights for portfolio managers. Applicants should possess strong technology expertise and a solid understanding of financial markets. The environment promotes collaboration, growth, and professional development.

Benefits

Competitive compensation

Generous holidays

Health benefits

Ongoing learning support

Collaborative environment

Tech amenities in office

Qualifications

• Experience in quantitative software development in hedge funds or investment banks is advantageous.
• Experience with private market investments like real estate or private debt is a plus.

Responsibilities

• Designing and building tools for quantitative strategies.
• Developing APIs and tooling for risk modeling.
• Building infrastructure for data gathering and analysis.

Skills

Exceptional technology expertise

Interest in financial markets

Strong software engineering practices

Proficiency in Python

Experience with data analysis libraries

Relevant mathematical knowledge

Web development skills

Education

Strong academic background in a quantitative field

Tools

Python

Linux

pandas

React

FastAPI

Django

Kubernetes

Job description

Social network you want to login/join with:

Quant Developer - Credit Technology, London

Client:

Man Group

Location:

London, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Reference:

c2454921beb3

Job Views:

11

Posted:

17.06.2025

Expiry Date:

01.08.2025

Job Description:

Working alongside Portfolio Managers and Quant Researchers, you will engage in a strategic build-out of our quantamental systems to bring cutting-edge technology to our quant-driven strategies and help discretionary investment managers leverage quantitative insights from our systems.

The teams have identified a collection of tools and workflows they would like to develop. Your role involves designing and building these tools at all levels of the stack, including:

• Systems to simplify backtesting alpha signals and insights into quantitative techniques
• APIs and tooling for Quantitative Risk modelling of portfolios
• Infrastructure and pipelines for data gathering, cleaning, and maintenance
• Data APIs and Python libraries for desk researchers, automation of pricing and risk/scenario models over diverse data sources such as social media, semi-structured financials, and market data
• Expanding existing equities tooling to support fixed income/credit portfolios
• Front-ends for discretionary managers to leverage quant insights
• Support for live quantitative trading systems and portfolio management tools

You will develop a detailed understanding of the investment and risk-management teams' work and apply technology and automation to maximize their efficiency, allowing more focus on generating alpha for clients.

Our Technology

The technology stack is primarily on Linux, with code in Python using libraries like pandas and scikit-learn. We also have C# integrations with Excel, web tools with React, Streamlit, FastAPI, Django, Angular, and PHP. We use ArcticDB, a high-performance proprietary database, alongside traditional RDBMS. Generative AI is increasingly integrated into our systems, and all code is deployed using Kubernetes and modern cluster frameworks.

Working Here

Man Tech offers a flat, open, and collaborative environment with opportunities for growth and impact. We actively engage with the broader tech community through sponsorships, open-source projects, industry conference talks, and social events. Our office overlooks the River Thames and is equipped with various tech amenities. We provide competitive compensation, generous holidays, health benefits, and support ongoing learning through coaching, mentoring, and professional development.

Technology and Business Skills

We seek highly skilled technologists with:

• Exceptional technology expertise, recognized by peers
• Interest and understanding of financial markets and instruments
• Strong software engineering practices: agile, CI/CD, code review, testing, refactoring
• Proficiency in Python and Linux scripting
• Experience with data analysis libraries (NumPy, SciPy, Pandas)
• Relevant mathematical knowledge: statistics, optimization
• Web development and visualization skills for large data sets

Advantageous

• Experience in front-office quantitative software development in hedge funds or investment banks
• Experience with private market investments like real estate or private debt

Personal Attributes

Ideal candidates will have a strong academic background in a quantitative field, a craftsman-like approach to software engineering, passion for technology, analytical problem-solving skills, self-organization, excellent communication, and mentoring abilities.

Our Culture, Values, and Benefits

We promote diversity, inclusion, and equal opportunities. Our benefits include competitive holidays, pension, medical coverage, and support for community involvement and professional growth. We are committed to accessibility and encourage applicants requiring adjustments to contact us.