Junior Quant - PM Analytics

Man Group is a global alternative investment management firm focused on systematic, discretionary, and solutions-based investment strategies. The Junior Quant - PM Analytics will support Systematic Portfolio Analytics by analyzing large datasets, developing metrics and tools, researching portfolio insights, and partnering with portfolio managers, researchers, technologists, and traders.

What you'll do:

• Aggressively adopt AI and cutting-edge tooling to multiply your own output and the team's output
• Work with — and make sense of — vast amounts of data across both AHL and Numeric
• Develop analytics, KPIs and metrics that turn raw data into intelligence
• Carry out research aimed at uncovering non-obvious insights about our strategies, signals and portfolios
• Write code, build reporting mechanisms, and create tools that PMs and researchers actually use
• Rapidly build a deep understanding of the systematic estate, and leverage that knowledge to generate cross-functional insights and synergies between AHL and Numeric
• Partner closely with PMs, researchers, technologists and traders on both sides of the Atlantic

What they're looking for:

• Is a genuine self-starter — comfortable defining their own problems and running with them
• Has extremely high attention to detail — the kind of person who notices the thing nobody else notices
• Is entrepreneurial — sees gaps and fills them, without needing to be asked
• Is constantly curious about the "why" — never satisfied with a surface-level answer
• Loves solving problems — and gets energy from hard, ambiguous ones
• Is excited by AI and modern tooling, and proactive about integrating it into their workflow
• Strong analytical & statistical skills — and able to translate them into pragmatic, real-world solutions
• Comfortable with large datasets and risk management techniques
• Expertise in a high-level programming language (ideally Python) and its scientific stack (NumPy / SciPy / Pandas or similar)
• Strong academic record from a leading university, with a degree containing high mathematical, statistical and computing content (e.g. Mathematics, Computer Science, Engineering, Economics, Physics, or Statistics)
• Keen interest in financial markets
• Hands-on attitude; willing to get involved with technology and projects across the firm

Benefits:

• Compensation packages would also include benefits and a discretionary bonus.
• Professional development opportunities
• Flexible working arrangements available
• 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