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For Companies At a Glance
- Tasks: Create innovative 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 alternatives.
- Benefits: Enjoy competitive pay, flexible working, and a comprehensive benefits package including health and wellness perks.
- Why this job: Make a real impact in finance by developing cutting-edge algorithms and collaborating with top researchers.
- Qualifications: PhD or exceptional degree in a quantitative field; strong analytical and programming skills required.
- Other info: Thrive in an inclusive culture that values equality and offers excellent career growth opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
About Man Group
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. Headquartered in London, we manage $213.9 billion and operate across multiple offices globally.
Algo Research Team
The 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 the 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
- In‑depth market impact modelling
- Solving optimal execution optimisation problems
- Identifying highest P&L opportunities
- Close collaboration with researchers across the Man Systematic
Technology and Business Skills
Essential
- Ability to think creatively, to come up with and implement original research and ideas
- Exceptional analytical skills; recognised by peers as an expert in one’s domain
- 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 or R
Advantageous
- Knowledge of market structure, participants, trading venues and microstructure of at least one of the major asset classes
- Experience in intraday alpha research
- Experience in building ML models
- Experience with handling large data sets and tick data
Personal Attributes
- PhD or exceptional Masters / Bachelor’s qualification in a quantitative subject
- 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 competing business demands and priorities
- Strong interpersonal skills, establishing and maintaining close working relationships with quantitative researchers, technologists, traders and senior business people alike
- Confident communicator, able to argue a point concisely and deal positively with conflicting views
Inclusion, Work‑Life Balance and Benefits
You’ll thrive in an environment that champions equality of opportunity. Through external and internal initiatives, partnerships and programmes, you can grow, develop your talents and help foster an inclusive culture. You’ll have opportunities to make a difference through our charitable and global initiatives, advance your career through professional development, and benefit from flexible working arrangements. Our benefits package includes competitive holiday entitlements, pension/401 k, life and long‑term disability coverage, group sick pay, enhanced parental leave and long‑service leave. Depending on location, additional benefits such as private medical coverage, discounted gym membership and pet insurance may be available.
Equal Employment Opportunity Policy
Man Group provides equal employment opportunities to all applicants and 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 [contact information].
Quantitative Researcher - Algo Research employer: Jobs via eFinancialCareers
Contact Detail:
Jobs via eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher - Algo Research
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Man Group on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your best projects, especially those involving ML techniques or market impact modelling. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for quantitative researchers. Mock interviews with friends or mentors can boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Man Group team.
We think you need these skills to ace Quantitative Researcher - Algo Research
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your analytical skills and programming expertise in Python or R. We want to see how you can creatively apply these skills to real-world problems, especially in the context of alpha research.
Tailor Your Application: Don’t just send a generic CV and cover letter! Tailor your application to reflect your understanding of the role and how your background fits with our focus on futures and market impact modelling. We love seeing candidates who take the time to connect their experience with what we do.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate confident communicators who can argue their points concisely. Avoid jargon unless it’s relevant, and make sure your passion for quantitative research shines through!
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, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Jobs via eFinancialCareers
✨Know Your Algorithms
Make sure you brush up on your knowledge of machine learning techniques and how they apply to alpha research. Be ready to discuss specific algorithms you've used in the past and how they contributed to predictive modelling.
✨Showcase Your Analytical Skills
Prepare to demonstrate your exceptional analytical skills by discussing real-world problems you've solved using statistics or ML. Bring examples of your work, especially those that highlight your ability to create high-quality intraday predictive alpha signals.
✨Understand Market Structures
Familiarise yourself with the market structure and participants relevant to futures trading. Being able to discuss the microstructure of major asset classes will show that you have a solid grasp of the environment you'll be working in.
✨Communicate Confidently
Practice articulating your thoughts clearly and concisely. You’ll need to convey complex ideas effectively, so think about how you can present your research and findings in a way that’s easy for others to understand, even if they’re not experts in your field.