Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Create high-quality predictive alpha signals and apply ML techniques in a dynamic research environment.
- Company: Join Man Group, a leading global investment management firm with a focus on innovation.
- Benefits: Enjoy competitive pay, flexible working, and generous leave for community volunteering.
- Other info: Thrive in an inclusive culture that values your unique perspective and promotes career growth.
- Why this job: Make a real impact in finance while collaborating with top-tier researchers and technologists.
- Qualifications: 4+ years in quantitative research, strong programming skills, and a deep understanding of statistics.
The predicted salary is between 43200 - 72000 £ 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. Headquartered in London, we manage $213.9 billion and operate across multiple offices globally.
Algo Research team is responsible for alpha research across a wide range of time‑scales (from high frequency to days), design of monetisation/execution algos and market impact modelling across all major asset classes (including Cash Equities, Futures, FX, Options). We work in close collaboration with various systematic research teams across Man Group to maximise realised P&L of strategies. Algo Research is one of the key focus areas for Man.
Responsibilities- Creating high quality intraday predictive alpha signals in futures on the scale of sub‑second to hours, from order book and alternative datasets
- Applying ML techniques to alpha research
- Solving optimal execution optimisation problems
- Identifying highest P&L opportunities
- Close collaboration with researchers across the Man Systematic
- 4+ years of work experience on the Buy side
- Experience building intraday alpha for futures markets
- Deep understanding of statistics/ML and an ability to apply it to real world problems
- Expertise in a high‑level programming language such as Python
- Exceptional analytical skills; recognised by peers as an expert in their domain
- Ability to conduct research independently as well as work as part of a larger team and manage multiple stakeholders
- Knowledge of market structure, participants, trading venues and microstructure of at least one of the major asset classes
- Experience with Deep Neural Networks
- Experience with handling large data sets and tick data
- Intellectual integrity with a keenly analytic approach to problem solving
- Ability to deliver projects with high commercial value
- Hands‑on attitude; willing to get involved with technology and projects across the firm
- Self‑organised, with the ability to effectively manage time across multiple projects and with competing business demands and priorities
- Strong interpersonal skills, establish and maintain a close working relationship with quantitative researchers, technologists, traders and senior business people alike
- Confident communicator, able to argue a point concisely and deal positively with conflicting views
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 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.
Equal Employment Opportunity PolicyMan 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.
Senior Quantitative Researcher - Algo in London employer: Man Group
Contact Detail:
Man Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Researcher - Algo in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Man Group. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with recruiters or during interviews, make sure to highlight your experience with ML techniques and alpha research. Share specific examples of how you've tackled real-world problems using your analytical skills.
✨Be Ready for Technical Questions
Brush up on your programming skills, especially in Python. Be prepared to discuss your experience with intraday alpha and how you’ve applied statistical methods in your previous roles. Confidence in your technical knowledge can really set you apart!
✨Apply Through Our Website
Don’t forget to apply directly through the Man Group website! It shows you're genuinely interested and gives you a better chance of being noticed. Plus, it’s super easy to keep track of your application status that way.
We think you need these skills to ace Senior Quantitative Researcher - Algo in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Quantitative Researcher role. Highlight your experience with intraday alpha signals and ML techniques, as these are key for us at Man Group.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work that showcase your expertise in Python and your analytical prowess. We love seeing how you’ve applied your knowledge in real-world scenarios.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you’re passionate about quantitative research and how your background aligns with our goals at Man Group. Make it personal and engaging!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Man Group
✨Know Your Algorithms
Make sure you brush up on your knowledge of algorithmic trading and the specific techniques used in alpha research. Be prepared to discuss how you've applied machine learning techniques in your previous roles, especially in creating predictive alpha signals.
✨Showcase Your Analytical Skills
During the interview, highlight your exceptional analytical skills with concrete examples. Discuss how you've solved complex problems in the past, particularly those related to optimal execution and market impact modelling.
✨Demonstrate Team Collaboration
Since the role involves close collaboration with various teams, be ready to share experiences where you've successfully worked with others. Emphasise your ability to manage multiple stakeholders and how you’ve contributed to team success.
✨Communicate Confidently
Practice articulating your thoughts clearly and concisely. You may face conflicting views during discussions, so demonstrate your ability to argue your point effectively while remaining open to feedback. This will show your strong interpersonal skills.