Man Group
Systematic Quant Intern - PhD
Eligibility
- PhD student or equivalent in quantitative field
Internship with Man Group Systematic’s Quant Intern Program focusing on equity market quantitative investment strategy development involving statistical and ML modelling for PhD students.
Responsibilities
- 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 implementation aspects of investment strategies such as trading cost models, risk models, optimization, and portfolio construction
- Collaborating with adjacent research teams to share techniques, data and insights
Requirements
- PhD degree in Computer Science, Statistics, Mathematics, Finance/Economics or related quantitative field
- Passion for investment research with a track record of original research and demonstrated problem solving ability
- Excellent quantitative skills, with strong grounding in econometrics or statistics
- Strong programming skills (Python preferred)
- Good communication and interpersonal skills
- Self-organised with ability to manage multiple projects
- Prior experience in investment, complex data modelling, ML or AI techniques desirable
Skills
- Quantitative research
- Python programming
- Statistical/ML modelling
- Econometrics
- Investment research
- Employer posted
- Last checked