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

Nominate & Attend

Risk Engineering Manager

Man Group plc
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Science Manager, Financial Crime

Software Engineering Manager, Machine Learning

Engineering Manager - OSS and Tools

AIOps Principal Engineer

Data Scientist - Core Analytics

Data Scientist

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 ourplex trading needs and advancing our multi-year business goals.

The Team

Risk Engineering are part of the wider Man Group Enterprise Engineering team,prising over 100 individuals. We have varied backgrounds ranging from Classics to Advancedputer 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 thepany 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 internalmunication. 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 smallpany, 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 technologymunity.

We host and sponsor London's PyData and Machine Learning Meetups

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 offerpetitivepensation, a generous holiday allowance, various health and other flexible benefits. We are alsomitted 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.

EssentialExceptional 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 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 deliveringplex technology projects with stakeholder interaction across geographical locations A knowledge of a modern data-science stackAdvantageousExperience of quantitative or automated systems development 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 andplex data sets and relationships Substantial quant development engineering experience with relevant mathematical knowledge statistics, asset pricing theory, optimisation algorithms.Personal AttributesStrong academic record and a degree with high mathematical andputing content 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 withpeting 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 Confidentmunicator; able to argue a point concisely and deal positively with conflicting views. Demonstrable passion for technology personal projects, open-source involvement, keen interest in most recent advances within your domainWork-Life Balance and Benefits at Man

Man Group is proud to provide the best working environment possible for all of its employees, and we aremitted 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/diversity . 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'smunity volunteering programme.

We offerprehensive, firm-wide employee benefits includingpetitive 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.
Job ID JR005281

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.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.