At a Glance
- Tasks: Join our team to develop innovative trading strategies and build new alphas.
- Company: Man Group, a leading global investment management firm with a collaborative culture.
- Benefits: Enjoy competitive pay, generous holiday, flexible working, and continuous learning opportunities.
- Other info: Dynamic work environment with social events, tech perks, and a focus on inclusivity.
- Why this job: Make a real impact in finance while working with cutting-edge technology and passionate professionals.
- Qualifications: Strong Python skills, a background in maths or computing, and a passion for technology.
The predicted salary is between 36000 - 60000 £ per year.
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.
As a Quant Developer at Man Group you will be part of one of our flagship teams in Man's systematic trading arm - Man AHL. The team works hand-in-hand with Quant Researchers focusing on equity market neutral models. Your challenges will be varied, and will involve building new alphas and new trading strategies.
Quant Developers at Man Group are all part of our broader technology team, members of a group of over sixty individuals representing eighteen nationalities. We have varied backgrounds including Computer Science, Mathematics, Physics, Engineering – even Classics – but what unifies us is a passion for technology and writing high-quality code.
Our developers are organised into small cross-functional teams, with our engineering roles broadly of two kinds: "Quant Platform Developers" otherwise known as our "Core Techs", and "Quant Developers" which we often refer to as "Sector Techs". We use the term "Sector Tech" because some of our teams are aligned with a particular asset class or market sector. People often rotate teams in order to learn more about our system, as well as find the position that best matches their interests.
Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data throughput in Java and C++. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, 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. Our technology list is never static: we constantly evaluate new tools and libraries.
At AHL we strive to hire only the brightest and best and most highly skilled and passionate technologists.
- Exceptional technology skills; recognised by your peers as an expert in your domain
- A keen interest and understanding of financial markets and instruments
- A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches
- Strong knowledge of Python
- Proficient on Linux platforms with knowledge of various scripting languages
- Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas
- Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms
Advantageous:
- Experience of front office quantitative software development e.g. in a hedge fund or investment bank
- Experience of web based development and visualisation technology for portraying large and complex data sets and relationships
- Experience of machine learning techniques, natural language processing and related libraries and frameworks e.g. scikit-learn, Tensorflow
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
- Demonstrable passion for technology e.g. personal projects, open-source involvement
- 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, traders and senior business people alike
- Confident communicator; able to argue a point concisely and deal positively with conflicting views
Man Group 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. 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 believe that agile working allows us to deliver the best business outcomes for our clients and investors as well as having a positive impact on life / work balance and the wellbeing of our staff. We are simultaneously committed to "levelling the playing field" and believe that agile working promotes inclusivity across teams, regions and business units.
We organise regular social events, everything from photography through 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.
You’ll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you’ll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry.
You’ll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you’ll receive two annual 'Mankind' days of paid leave for community volunteering.
Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.
Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.
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 TalentAcquisition@man.com.
Quant Developer - AHL Technology in London employer: Man Group
At Man Group, we pride ourselves on being an exceptional employer that fosters a culture of inclusion and professional growth. Our London office offers a dynamic environment where you can develop your expertise in alternative asset classes while enjoying flexible working arrangements and a comprehensive benefits package, including generous leave for community volunteering. Join us to be part of a team that values your unique perspective and supports your career advancement in the investment management industry.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Developer - AHL Technology in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Man Group on LinkedIn, join relevant tech meetups, and engage in discussions about quant development. Building connections can give you insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your projects, especially those related to Python, data analysis, or financial markets. This is your chance to demonstrate your passion for technology and coding excellence.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of financial markets and quantitative techniques. Be ready to discuss how your background in maths or engineering can contribute to building innovative trading strategies at Man AHL.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Man Group team.
We think you need these skills to ace Quant Developer - AHL Technology in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quant Developer role. Highlight your experience with Python, Linux, and any relevant libraries like NumPy or SciPy. We want to see how your skills align with our tech stack!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for technology and finance, and explain why you’re excited about joining Man Group. Let us know how you can contribute to our team!
Showcase Your Projects:If you've worked on personal projects or contributed to open-source, don’t hold back! Include links or descriptions in your application. We love seeing your craftsmanship and creativity in action.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re serious about joining our team at Man Group!
How to prepare for a job interview at Man Group
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, especially Python, Linux, and the libraries like NumPy and Pandas. Be ready to discuss how you've used these tools in your past projects or personal endeavours.
✨Show Your Passion for Finance
Demonstrate a keen interest in financial markets and instruments. You might want to read up on recent trends or news in the finance sector, as this will help you engage in meaningful conversations during the interview.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills. Practice coding challenges or algorithm problems that are relevant to quantitative development, and be prepared to explain your thought process clearly.
✨Emphasise Collaboration Skills
Since the role involves working closely with Quant Researchers and other team members, highlight your experience in collaborative environments. Share examples of how you've successfully worked in teams and contributed to collective goals.