National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Risk Engineering Manager

Man Group
London
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineering Manager

Data Science Graduate

Pricing Product Manager

Data Science Manager - UK Remote Working

Data Science Manager

Data Science Manager

Risk Engineering Manager

The Role

As an Engineering Manager 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 a hands-on technology manager with excellent product management skills and good financial markets knowledge. You will be continuously educating and looking for ways to grow your team in terms of capability and knowledge.

Your role will be varied, including overseeing 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 and C# as primary languages, 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 () 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 ;

We regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. See @manquanttech

We’re fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work.

We organise regular social events, from photography to climbing, karting, wine tasting and monthly team lunches

We have annual away days and off-sites for the whole team

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.

We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications.

Technology and Business Skills

We strive to hire only the brightest and best and most highly skilled and passionate technologists.

Essential

Exceptional technology skills; recognised by your peers as an expert in your domain

Demonstrable programming experience, ideally in Python, C#

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

Advantageous

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.

Personal Attributes

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

Work-Life Balance and Benefits at Man

Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry. . Man Group is also a Signatory of the Women in Finance Charter.

Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme.

We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.