Quantitative Researcher - Mid Frequency Intraday Signals

Man Group
Shanghai, China
On-site

Who this role is best for

Best suited to candidates with a strong quantitative background and experience in high-frequency trading working in systematic hedge funds or proprietary trading firms.

Best fit for

  • Candidates with a strong quantitative background and experience in high-frequency trading
    — “Strong quantitative background in Mathematics, Statistics, Computer Science, Physics or a related discipline”
  • Individuals with a track record in deploying research into live trading environments
    — “Demonstrated experience taking signals from research into live trading”
  • Those who have worked at leading proprietary trading firms or top systematic hedge funds
    — “up to 10 years in quantitative alpha research, preferably at leading proprietary trading firms or top systematic hedge funds”

Things to consider

  • Prior experience in market microstructure and order-book data is a key requirement
    — “Strong understanding of market microstructure, order-book / trade data and high-frequency price–volume dynamics”
  • The role demands a focus on rigorous evaluation of signal performance metrics
    — “rigorous evaluation of transaction costs, slippage, signal decay and out-of-sample robustness”

How to stand out

  • Highlight your experience with time-series forecasting and statistical modeling in your research projects
    — “Develop short-horizon intraday (T0) signals using time-series forecasting, statistical modelling and machine learning”
  • Emphasize your hands-on work with large tick-level datasets in your application materials
    — “experience handling large tick-level datasets”
Pace · Fast PacedCollaboration · MediumAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Developing short-horizon intraday signals
  • Taking signals from research into live trading
Typical background
Up to 10 years in quantitative alpha research

Skills & requirements

Required

Quantitative Alpha ResearchTime-series ForecastingStatistical ModelingMachine LearningMarket MicrostructureOrder-book/trade DataHigh-frequency Price-volume DynamicsSignal Evaluation

Preferred

C++Python

Stack & domain

Quantitative Alpha ResearchTime-series ForecastingStatistical ModellingMachine LearningMarket MicrostructureOrder-book / Trade DataHigh-frequency Price–volume DynamicsPythonC++Handling Large Tick-level Datasets

About the role

Original posting from Man Group via Greenhouse

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 $253.6 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 30 June 2026

Experience: up to 10 years in quantitative alpha research, preferably at leading proprietary trading firms or top systematic hedge funds.

Research focus: Develop short-horizon intraday (T0) signals using time-series forecasting, statistical modelling and machine learning.

Relevant expertise: Strong understanding of market microstructure, order-book / trade data and high-frequency price–volume dynamics.

Track record: Demonstrated experience taking signals from research into live trading, with rigorous evaluation of transaction costs, slippage, signal decay and out-of-sample robustness.

Technical skills: Strong Python and quantitative research skills; experience handling large tick-level datasets. C++ is a plus.

Education: Strong quantitative background in Mathematics, Statistics, Computer Science, Physics or a related discipline.

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 TalentAcquisition@man.com.

Source: Man Group careers (Greenhouse)

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