Systematic Quant Intern, PhD
Man Group
Boston, MAFresher3h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- Statistics
- Nice to have
- Machine learningPythonLLMs
- Work
- On-site in Boston · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python60%Statistics36%Machine learning32%LLMs19%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 2, 2026 · still open
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About the Role
Join Man Systematic’s Quant Intern Program in summer 2027 for the opportunity to work alongside the Systematic Quantitative Research team.
Key Responsibilities
- 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.
- Identify new investment ideas or innovative data sources.
- Source, gather, and refine complex data for modeling.
- Code and perform statistical/ML analysis to build, test, and refine predictive models.
- Interpret, present, and implement the results.
- Conduct research on various implementation aspects of investment strategies such as trading cost models, risk models, optimization, and portfolio construction.
- Contribute 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.
Requirements & Tech Stack
- 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.
Compensation
US Pay Range: $55 USD - $65 USD per hour. Compensation packages would also include benefits and a discretionary bonus.