C# Team Lead London

Man Group
London
2 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist / AI Engineer

Lead / Senior Software Engineer - ML/AI

Senior Data Engineer

Principal Data Scientist

Head of Data Science

Engineering Manager

This is an outstanding opportunity to join one of the largest alternative asset managers in the world. Technology is central to Man’s business strategy and we are constantly looking at better ways of doing things. Our culture embraces change; indeed change is the norm rather than the exception in a constantly evolving organisation and industry.

We are looking for skilled engineers with a genuine passion for technology to work within our C# Software Engineering teams. You will work on solutions in critical areas for an asset manager such as order management, trade settlement, risk management, fund accounting and client reporting.

All roles will have a balance of BAU and Project work. BAU work will involve maintaining the existing tech stack, 3rd line support and supporting the business with smaller enhancements and fixes, whilst project work will consist of longer term, more far-reaching changes that are a mixture of extending existing systems, incorporating new technologies and building out our strategic technology platform in line with our long-term vision.

This opening has the potential to be a high profile role with extensive interaction with business stakeholders and senior management across Man Group, so would suit individuals who thrive in those environments.

The Team:

We are looking for skilled engineers with a genuine passion for technology to work within the Enterprise Engineering Platform team. This group is responsible for the software that is at the heart of Man’s operating platform, known as ROSA. The platform provides firmwide technology solutions and underpins most of what the firm does from a reporting, compliance, risk management and client reporting perspective.

The team is focused on maintaining a centre of engineering excellence within the wider Enterprise Engineering team, providing technical leadership, driving strategic change, keeping up with technology trends, and evolving the platform to increase capacity, stability, and agility.

Key Responsibilities:

  • Owning the end-to-end delivery process – from requirements gathering through to development, testing, and coordinating deployment to production
  • Participating in/owning the planning, design, and delivery of longer-term projects
  • Participating in code reviews and knowledge sharing amongst peers
  • Continuous improvement of production components such as reducing technical debt, increasing release quality, and improving resource utilization
  • Encouraging and driving adoption of best practices and helping to improve business knowledge and understanding within the team
  • Support for production systems and BAU requests
  • Providing technical direction to team members
  • Mentoring and coaching members of the team and the wider Enterprise Engineering team
  • Interfacing with key senior stakeholders to plan and deliver on Man-wide strategic initiatives

Key Skills

  • Strong delivery focused approach, ensuring business value is being met
  • Core experience in C# and .NET
  • Query writing, schema design and performance tuning in MS SQL Server
  • Ability to balance business delivery and incremental adoption of new architectural platform features
  • Proponent of collaborative software engineering techniques and methods
  • Confident communicator; able to argue a point concisely and deal positively with conflicting views

Useful Experience

  • Any working knowledge of Kafka

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 grow and have enormous impact on what we do. We are actively engaged with the broader technology community.

  • We host and sponsor London’s PyData and Machine Learning Meetups
  • We regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. See @manquanttech

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.

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 operate a successful hybrid working model, with members of the team attending the office for three days per week, more if desired.

We always encourage a high rate of in person attendance to begin with in order to forge strong relationships with your peers and allow the best opportunity to learn from others in the team.

Our Culture, Values 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 equal opportunities. 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. There are a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and that encourage inclusion and diversity across our firm and the industry. Man Group is a Signatory of the Women in Finance Charter and the Race at Work 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.

Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact .

Man Group is a global, technology-empowered active investment management firm focused on delivering alpha and portfolio solutions for clients. Headquartered in London, we manage $174.9 billion* and operate across multiple offices globally.

We invest across a diverse range of strategies and asset classes, with a mix of long only and alternative strategies run on a discretionary and quantitative basis, across liquid and private markets. Our investment teams work within Man Group’s single operating platform, enabling them to invest with a high degree of empowerment while benefiting from the collaboration, strength and resources of the entire firm. Our platform is underpinned by advanced technology, supporting our investment teams at every stage of their process, including alpha generation, portfolio management, trade execution and risk management.

Our clients and the millions of retirees and savers they represent are at the heart of everything we do. We form deep and long-lasting relationships and create tailored solutions to help meet their unique needs.

We are committed to creating a diverse and inclusive workplace where difference is celebrated and everyone has an equal opportunity to thrive, as well as giving back and contributing positively to our communities. For more information about Man Group’s global charitable efforts, and our diversity and inclusion initiatives, please visit: https://www.man.com/corporate-responsibility

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 30 September 2024. All investment management and advisory services are offered through the investment engines of Man AHL, Man Numeric, Man Discretionary, Man FRM, Man Varagon, Man Global Private Markets and Man Solutions.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.