Systematic Quant Intern - PhD

Man Group

United States

On-site

USD 55,000 - 65,000

Full time

8 days ago

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Job summary

Man Group invites applications for its Quant Intern Program in summer 2027 within the Strategic Alpha Research (SAR) team. You will work across the full research lifecycle—from idea generation and data sourcing to signal construction, testing, and portfolio construction—supporting new and existing strategies.

The role requires a PhD in a quantitative field and strong Python programming, with a track record in research and data-driven analysis. Competitive base pay and benefits are offered.

Qualifications

  • PhD degree in Computer Science, Statistics, Mathematics, Finance/Economics or related quantitative field.
  • Passion for investment research; Strong intuition and the ability to think-out-of-the-box with a track record of original research and demonstrated problem solving ability.
  • Excellent quantitative skills; Grounded in econometrics or statistics with extensive experience in utilizing those skills in empirical research.
  • Strong programming skills (Python preferred); comfortable with analyzing large and complex data with statistical tools
  • Confident communicator; able to communicate complex ideas clearly. Good interpersonal skills to work together with the team.
  • Self-organized; able to manage multiple projects and competing priorities.
  • Prior experience in the investment field, or applying complex data modelling, ML, or LLMs/AI techniques is desirable.

Responsibilities

  • Develop and improve quantitative investment strategies; support across the full research lifecycle from idea generation to trade execution.
  • Identify new investment ideas or innovative data sources.
  • Sourcing, gathering and refining complex data for modeling.
  • Coding and performing statistical/ML analysis to build, test and refine predictive models.
  • Interpreting, presenting, and implementing the results.
  • Conducting research on implementation aspects of investment strategies such as trading cost models, risk models, optimization, and portfolio construction.
  • Collaborating with adjacent research teams, such as fixed income and macro, to share techniques, data and insights.

Skills

Quantitative analysis
Data science
Strong communication

Education

PhD in Computer Science/Statistics/Mathematics/Finance or related quantitative field

Tools

Python

Job description

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

Join Man Systematic’s Quant Intern Program in summer 2027 for the opportunity to work alongside the Systematic Quantitative Research team.

Purpose of the role

Develop and improve quantitative investment strategies in equity markets within the Strategic Alpha Research team (SAR). Work across the full research lifecycle – from idea generation and data sourcing, through signal construction and testing, to portfolio construction and trade execution – supporting both new and existing strategies. The responsibilities include:

  • Identifying new investment ideas or innovative data sources;
  • Sourcing, gathering and refining complex data for modeling;
  • Coding and performing statistical/ML analysis to build, test and refine predictive models;
  • Interpreting, presenting, and implementing the results;
  • Conducting research on various implementation aspects of investment strategies such as trading cost models, risk models, optimization, and portfolio construction.
  • Contributing to the firm’s broader research agenda by collaborating with adjacent research teams, such as fixed income and macro, to share techniques, data and insights.
Essential competencies
  • PhD degree in Computer Science, Statistics, Mathematics, Finance/Economics or related quantitative field
  • Passion for investment research; Strong intuition and the ability to think-out-of-the-box with a track record of original research and demonstrated problem solving ability.
  • Excellent quantitative skills ; Grounded in econometrics or statistics with extensive experience in utilizing those skills in empirical research.
  • Strong programming skills (Python preferred); comfortable with analyzing large and complex data with statistical tools
  • Confident communicator; able to communicate complex ideas clearly. Good interpersonal skills to work together with the team.
  • Self-organized; able to manage multiple projects and competing priorities.
  • Prior experience in the investment field, or applying complex data modelling, ML, or LLMs/AI techniques is desirable.

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 $55 — $65 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 TalentAcquisition@man.com .

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