Junior Quant - Portfolio Analytics

About Man Group

Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi‑manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $227.6 billion and operate across multiple offices globally.

About Man Systematic

Man Systematic— formed by Man AHL and Man Numeric— is one of the largest and most diversified systematic investment platforms in the world, managing in the region of $150 billion across hedge funds, long‑only programmes, total return strategies, and bespoke Solutions mandates. For over 35 years, AHL and Numeric have been blending techniques from machine learning, statistics, and physics with world‑class engineering to stay ahead of the curve — research‑driven, technology‑native, and obsessive about the integrity of the investment process from data to execution.

The Team: Systematic Portfolio Analytics

Systematic Portfolio Analytics has been a core function within Man AHL for the past four years and is now expanding its mandate to cover the entirety of Man Systematic— both AHL and Numeric. This is an established function with a strong track record inside AHL, now scaling up to deliver across one of the largest systematic platforms in the world. Our mandate is to deliver quantifiable, transparent, and actionable insights across the entire systematic estate — from individual signals all the way through to fund‑level outcomes. We are an integral part of the decision‑making process, helping determine where research effort and risk capital should be allocated.

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 things 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.

You Will

• 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.

Essential Technical Skills

• 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).

Advantageous

• 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+.

Personal Attributes

• 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.

Inclusion, Work‑Life Balance And Benefits

At Man Group you'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry.

You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual "Mankind" days of paid leave for community volunteering. Our 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 your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.

Equal Employment Opportunity Policy

Man Group provides equal employment opportunities to all applicants and all 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.