Man Group is a global alternative investment management firm focused on systematic, discretionary and solutions-based investment strategies. The Junior Quant - Portfolio Analytics will analyze large datasets, develop analytics and metrics, conduct research into strategies and portfolios, build reporting tools, and collaborate with portfolio managers, researchers, technologists and traders.
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
Qualification
Required
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
Intellectually robust, with a positive attitude to ambiguity and hard problems
Self-organised, able to manage time effectively across multiple competing priorities
Strong interpersonal skills; able to build close working relationships with quantitative researchers, technologists, traders and senior business people alike
Confident communicator; able to argue a point concisely and deal positively with conflicting views
Strong sense of integrity
Preferred
Familiarity with modern AI tooling (LLMs, agentic workflows, Claude Code / Codex CLI)
Exposure in key areas on the sell-side, e.g. Trading, Risk, QIS, Financial Engineering, Strats / Quants, Portfolio Management, Electronic / Systematic Trading
Experience analysing or managing complex risk
Linux, SQL / Oracle, KDB+
Benefit
Opportunities to advance your career through professional development
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
Depending on your location, private medical coverage
Depending on your location, discounted gym membership options
Depending on your location, pet insurance
Man Group is an investment management firm that provides hedge fund, private markets, and quantitative investment solutions.
