Systematic Quant Intern

Man Group is an alternative investment management firm. The Systematic Quant Intern will work with quantitative research and portfolio management teams to research and develop trading strategies, validate models and signals, monitor portfolios, and analyze returns and client communications.

What you'll do:

• Within the Quant Research team, you will conduct research and develop strategies which will improve our trading of financial markets in equities and across the business in general
• You will develop and enhance quantitative investment strategies using statistical and quantitative techniques, including econometrics, machine learning, and/or AI
• In addition to developing new trading strategies, you will also get the opportunity to conduct research on various implementation aspects of quant strategies such as optimization, transaction cost, and portfolio construction
• Within the Portfolio Management teams, you will gain exposure to a broad spectrum of research, investment, and technical tasks – gaining exposure to what it means to own a quant strategy for a client
• That will involve both validating the inputs of our models as well as the output from the quantitative signals used to make buy/sell decisions
• You will monitor portfolio risk and country/sector exposures, analyze portfolio returns, and conduct analysis for client communications
• You will analyze the output of our portfolio construction process to ensure the integrity of our investment philosophy, assist research and portfolio management teams with enhancing existing signals, and create new signals
• You will potentially rotate through the Fixed Income, Equities (EM or DM), Alternatives or Tax Aware portfolio management teams

What they're looking for:

• Strong academic record and undergraduate coursework in a quantitative discipline such as economics, physics, engineering, computer science, mathematics, etc
• Strong programming and statistical analysis skills (e.g., Python, R), with the ability to apply statistical and quantitative techniques to complex datasets
• Demonstrated problem solving ability and ability to quantitatively reason around problems
• Ability to think creatively and independently, developing ideas from first principles and testing them rigorously
• Ability to communicate complex concepts clearly to both technical and non-technical audiences
• Self-organized with the ability to effectively manage time across multiple projects

Benefits:

• Discretionary bonus
• Professional development
• Flexible working arrangements
• Two annual 'Mankind' days of paid leave for community volunteering
• Competitive holiday entitlements
• Pension/401k
• Life and long-term disability coverage
• Group sick pay
• Enhanced parental leave
• Long-service leave