Risk Quant Engineer

Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.

Headquartered in London, we manage $172.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com

* As at 31 March 2025

The Role

As a quant engineer within the Risk Engineering team you will work with Investment Risk Managers and other Engineers to deliver novel solutions to investment teams and executives within Man Group. Your team's work enables daily risk analysis and ongoing risk research while supporting and refining the existing processes. You will collaborate with other risk engineering teams providing risk data, analytics and visualisation primitives.

This is a highly collaborative role, requiring linking together data & analytics from varied sources into a uniform, actionable, high level risk-focused view. We are looking for an engineer with excellent product management skills and good financial markets knowledge. You will be continuously educating and looking for ways to grow in terms of capability and knowledge.

Your role will be varied, including contributing to the implementation and rollout of new risk models, optimising, and maintaining analysis and reporting from 100s TiB data, architecting and implementing new datamarts and providing thought leadership and strategic direction for the future architecture of the Man Risk Platform. You will be continuously looking for ways to link together much of our risk subsystems into a consistent high-level view. The role is a unique opportunity to play a pivotal part in building a state-of-the-art investment risk platform, aligning with our complex trading needs and advancing our multi-year business goals.

The Team

Risk Engineering are part of the wider Man Group Enterprise Engineering team, comprising over 100 individuals. We have varied backgrounds ranging from Classics to Advanced Computer Science, but share a passion for trying to find elegant working solutions to hard problems. We work side by side with the quant part of the business, both supporting them in their day to day work and building scalable, strategic platforms to position the company for future growth.

Our Technology

Within Risk Engineering we run a mixture of Linux and Windows, and use Python as the primary language, with an emphasis on Python and the Python scientific stack: numpy, scipy, pandas, scikit-learn, etc. We implement the systems that require the highest data throughput in Java. We implement most of our long running services and analytics in C#.

We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, ELK for logs, Grafana, Prometheus & InfluxDb for metrics, Docker and Kubernetes for containerisation, OpenStack for our private cloud, Ansible and Terraform for architecture automation, and Slack for internal communication. We heavily utilise ArcticDB ( https://arcticdb.io/ ) our in-house developed DataFrame Database alongside SQL Server and ClickHouse stores. Our technology list is never static: we constantly evaluate new tools and libraries.

Working Here

Man Technology has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to have enormous impact on the firm. We are actively engaged with the broader technology community.

• We host and sponsor London's PyData and Machine Learning Meetups
• We open-source some of our technology. See https://github.com/man-group
• We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. See @manquanttech

• We organise regular social events, from photography to climbing, karting, wine tasting and monthly team lunches
• As well as PCs and Macs, in our office you'll also find numerous pieces of cool tech such as light cubes and 3D printers, guitars, ping-pong and table-football, and a piano.

• Exceptional technology skills; recognised by your peers as an expert in your domain
• Demonstrable programming experience, ideally in Python.
• Proficient on Linux platforms with knowledge of various scripting languages
• Experience with DevOps methodology and tooling in the software development
• Working knowledge of one or more relevant database technologies e.g. Oracle, Postgres, MongoDB, ArcticDB.
• Excellent team management and product management skills. You will own and control the backlog prioritisation and face off to stakeholders.
• A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches
• A proven track record of delivering complex technology projects with stakeholder interaction across geographical locations
• A knowledge of a modern data-science stack

• Experience of quantitative or automated systems development e.g. in a hedge fund or investment bank
• Expertise in building distributed systems with large data warehouses and both on-line and batch processing
• Experience of web-based development and visualisation technology for portraying large and complex data sets and relationships
• Substantial quant development engineering experience with relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms.

• Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university
• Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others
• Intellectually robust with a keenly analytic approach to problem solving
• Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities
• Focused on delivering value to the business with relentless efforts to improve process
• Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, other engineering teams and senior business people alike
• Confident communicator; able to argue a point concisely and deal positively with conflicting views.
• Demonstrable passion for technology e.g. personal projects, open-source involvement, keen interest in most recent advances within your domain

Man Group is a global, technology-empowered active investment management firm focused on delivering alpha and portfolio solutions for clients. Headqua...

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