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Man Group

Quantitative Researcher

Posted 12 Days Ago
Be an Early Applicant
Easy Apply
Remote
Hiring Remotely in Massachusetts
120K-140K Annually
Mid level
Easy Apply
Remote
Hiring Remotely in Massachusetts
120K-140K Annually
Mid level
The Quantitative Researcher will focus on creating predictive alpha signals, applying ML techniques, and optimizing execution in cash equities. Close collaboration with teams to maximize P&L opportunities is key.
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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 $213.9 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

* As at 30 September 2025

Algo Research Team

Algo Research team is responsible for alpha research across a wide range of time-scales (from high-frequency up to ~48 hours), design of monetization/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 realized P&L of strategies. Algo Research is one of the key focus areas for Man.

We are looking for a Quantitative Researcher with a primary focus on Cash Equities whose responsibilities will include:

  • Creating high quality intraday predictive alpha signals in cash equities, from order book and alternative datasets
  • Applying ML techniques to alpha research
  • In-depth market impact modelling
  • Solving optimal execution optimization problems
  • Identifying highest P&L opportunities
  • Close collaboration with researchers across the firm  

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/ 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 with competing business demands and priorities
  • Strong interpersonal skills; adaptability and ability to 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

The anticipated based salary range for this position is listed below. Compensation packages would also include benefits and a discretionary bonus. This is the base salary range that the Company believes it will pay for this position at the time of this posting based on the location and requirements of the position as well as the skills, qualifications, and experience of the applicant.  The Firm reserves the right to modify this pay range at any time.

US Pay Range
$120,000$140,000 USD

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].


Top Skills

Machine Learning
Python
R
Statistical Analysis

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