Junior Quant - Portfolio Analytics

What We'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

• 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

• 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 (Num Py, Sci Py, Pandas or similar)

• 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+

• 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

We'll provide a workplace where inclusion is fundamental and deeply embedded in our culture and values, with opportunities to grow, develop your talents and foster an inclusive environment across the firm and industry.

You’ll have flexibility for community volunteering, professional development and flexible working arrangements. You will receive two annual “Mankind” days of paid leave for community volunteering.

The comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long‑term disability coverage, group sick pay, enhanced parental leave and long‑service leave. Depending on location, additional benefits such as private medical coverage, discounted gym membership options and pet insurance may be available.

Man Group provides equal employment opportunities to all applicants and employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.

Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments when applying for roles with us, please contact