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. 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 $228.7 billion* and operate across multiple offices globally. 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
At Man Group, we respect your privacy and we are committed to protecting and safeguarding your Personal Data. We have developed policies and processes which are designed to provide for the security and integrity of your Personal Data. We are committed to Processing your Personal Data fairly and lawfully, and being open and transparent about such Processing. For further information on how we process your data, please see the privacy notice for applicants here
* As at 31 March 2026
Purpose of Role:
We are looking for a talented quantitative researcher to join the team to further the use of quantitative methods within discretionary investing at Man Group. The ideal candidate will contribute to the development and enhancement of discretionary investment strategies through quantitative research and innovation, combining strong market knowledge with an interest in helping portfolio managers leverage AI tools in their day-to-day process.
The Team:
PM Research is a team of quantitative researchers focused on delivering high-impact research that supports discretionary portfolio management teams at Man Group. We work on a wide range of projects - including researching and implementing signals, building portfolio optimisation tools, developing behavioural analytics, and building AI tools to support the investment process - that directly shape the way in which our portfolio managers invest and trade.
Your Responsibilities:
- Work closely with discretionary Portfolio Managers to add value to their process through signal development, data-based modelling, and testing/developing market heuristics, developing deep familiarity with the markets and sectors they trade.
- Work to optimise our discretionary portfolios, using risk modelling, portfolio construction, and optimisation.
- Backtest and implement signals using both traditional and alternative data sources.
- Follow industry and academic literature for innovations in quantitative strategies (and more generally) and suggest how discretionary PM teams can profit from them.
- Collaborate effectively with team members and communicate complex technical concepts to a less technical audience.
- Stay updated with market trends and continuously seek opportunities for improvement of existing processes and innovation using quantitative methods.
- Help PMs identify and integrate AI tools into their workflow where they add value to research, screening, or decision-making.
Your Skills / Experience:
- Ability to explain technical details to a less technical generalist audience.
- Understanding of portfolio construction and optimisation.
- Experience of using equity risk models.
- Strong knowledge of financial markets, including the sector-level and stock-specific drivers of returns.
- Exceptional academic background, preferably in a STEM field.
- Strong knowledge of Python and experience of data analysis techniques along with relevant libraries.
- Previous experience with optimisation packages such as Mosek is a plus.
- Familiarity with credit markets is advantageous but not required.
- Ideally experience in a quant researcher role; direct experience working with discretionary Portfolio Managers is a strong plus.
- Interest in applying AI and LLM-based tools to investment workflows; hands-on experience building such tools is a plus.
Inclusion, Work-Life Balance and Benefits at Man Group
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. Learn more at www.man.com/diversity.
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.
Equal Employment Opportunity Policy
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 [email protected].
Skills Required
- Strong knowledge of Python and experience of data analysis techniques
- Exceptional academic background, preferably in a STEM field
- Understanding of portfolio construction and optimisation
- Experience using equity risk models
- Ideally experience in a quant researcher role
What We Do
Man Group is a global active investment management firm, which runs $127 billion* of client capital in liquid and private markets, managed by investment specialists based around the world. Headquartered in London, the firm has 15 international offices and operates across multiple jurisdictions. Our business has five specialist investment engines, which represent the range of our capabilities: Man AHL, Man Numeric, Man GLG, Man FRM and Man GPM. These engines house numerous investment teams, working collaboratively within the framework of Man Group, with a high degree of investment autonomy. Each team benefits from the strength and resources of the firm’s single operating platform, enabling their primary focus to be seeking to generate alpha for clients. The teams invest across a diverse range of strategies and asset classes with highly specialised approaches, with long only and alternative strategies run on a discretionary and quantitative basis in single and multi-manager formats. Our clients are at the heart of everything we do and we engage in close dialogue with our investors as strategic partners, to understand their particular needs and constraints. Man Group’s investment teams are empowered and supported by our institutional infrastructure and technology, which aims to facilitate the efficient exposure to markets and effective collaboration across the organisation.
