Man Group

About the Company

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 $172.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. * As of 31 March 2025

Further information can be found at www.man.com

Listed Jobs

Company Name

Man Group

Job Title

Data and Reporting Analyst

Job Description

Job title: Data and Reporting Analyst Role Summary: Front‑office analytics professional in a private structured credit fund. Responsible for maintaining the data warehouse, cleaning and validating large datasets, developing ETL pipelines, and generating portfolio, risk and KPI reports. Works closely with portfolio and quantitative analysts to expand automated analytics and improve reporting for internal and external stakeholders. Expectations: - Deliver accurate, timely data and reports that support portfolio management, investment committee, sales, limited‑partner and prospective‑investor communications. - Continuously improve data quality, automate data processes, and expand reporting metrics and visualisations. - Serve as the primary data contact for CPM/Portfolio Management and external valuation agents. - Demonstrate clear, concise communication and collaborate effectively with multiple stakeholders. Key Responsibilities: - Configure, update, clean, and upload data tapes and credit event files (Excel) into SQL databases, ensuring full ETL pipeline integrity. - Monitor vast daily datasets for discrepancies, maintain data accuracy, and troubleshoot errors. - Generate and expand monthly and quarterly fund reports, enhancing metrics and charting using Python. - Upload portfolio/deal data to external valuation agents, verifying correctness and alignment with portfolio. - Work with quant and portfolio teams to expand automated analytics and reporting. - Act as the point of contact for data access from CPM/Portfolio Management. Required Skills: - SQL database management and ETL pipeline design. - Python programming (VS Code, Jupyter, GitHub); data manipulation, scripting, and automation. - Data visualization (Tableau preferred). - Understanding of fixed‑income instruments (bonds, CDS, CDO). - Strong analytical, organizational, and presentation skills. - Effective communication with diverse stakeholders. Required Education & Certifications: - Bachelor’s degree in a STEM field (1st class or upper‑second, or equivalent). - Minimum 2 years of experience in a data analyst or data visualisation role. - Knowledge of financial instruments and credit markets preferred.

London, United kingdom

On site

Junior

18-11-2025

Company Name

Man Group

Job Title

Senior Python Engineer - AI

Job Description

**Job title:** Senior Python Engineer – AI **Role Summary:** Design, develop, and maintain a scalable AI/ML platform for finance. Collaborate with research, trading, tech, and operations to build bespoke AI/ML applications and agents, stay abreast of cutting‑edge AI technologies, and promote AI adoption across the organization. **Expectations:** - Advanced proficiency in Python for production‑grade applications and services. - Strong software development discipline: version control (Git), CI/CD, code reviews, unit testing. - Passion for AI/ML, continuous learning of new algorithms and tools. - Excellent time‑management, able to juggle multiple projects and stakeholder priorities. - Effective communication and relationship building with traders, researchers, and other stakeholders. **Key Responsibilities:** - Architect, build, and maintain the company’s core AI/ML platform and infrastructure. - Partner with research, trading, and operations teams to design, develop, and deploy custom AI/ML solutions, including agents and automated tools. - Monitor emerging AI developments, evaluate applicability, and propose innovative, AI‑driven enhancements. - Lead knowledge transfer and training initiatives to increase AI literacy and adoption across the business. **Required Skills:** - Python (advanced); building and deploying production services. - Version control (Git), issue tracking (Jira), collaboration (Slack). - Software development best practices: architecture, testing, CI/CD, documentation. - Strong mathematical and computational foundation (algorithms, statistics). - Self‑organised, proactive problem‑solver with excellent stakeholder‑management skills. *Preferred/Advantageous:* - Front‑end experience (TypeScript, React, Next.js). - Database integration (PostgreSQL, Redis). - Generative AI: building agents, knowledge‑processing tools, fine‑tuning language models. - Exposure to systematic or discretionary investment environments. - Familiarity with Linux/UNIX environments. **Required Education & Certifications:** - Bachelor’s (or higher) degree in Computer Science, Mathematics, Engineering, or Physics with a strong emphasis on mathematics and computing. ---

London, United kingdom

On site

Senior

25-11-2025

Company Name

Man Group

Job Title

Quantitative Researcher - Algo Research

Job Description

Job Title: Quantitative Researcher – Algo Research Role Summary: Develop, test, and deploy high‑frequency and sub‑second predictive alpha models for futures markets. Apply advanced statistical and machine learning techniques to large tick datasets, model market impact, and design optimal execution strategies to maximize realized P&L. Collaborate with systematic researchers, technologists, traders, and senior stakeholders across the firm. Expections: Deliver robust, production‑grade predictive models that drive alpha generation and execution efficiency. Provide clear, data‑driven insights to influence strategy direction. Balance multiple research projects and business priorities while ensuring commercial impact. Communicate findings effectively to technical and non‑technical audiences. Key Responsibilities: - Engineer intraday alpha signals for futures using order‑book and alternative data, targeting sub‑second to hourly horizons. - Build and validate statistical, econometric, and machine‑learning models for trend and momentum prediction. - Quantify and model market impact across major asset classes to inform execution tactics. - Solve optimal execution and allocation problems, incorporating liquidity and constraints. - Identify high‑P&L opportunities through rigorous hypothesis testing and scenario analysis. - Partner with systematic research teams to integrate alpha signals into broader strategy frameworks. - Maintain coding standards, documentation, and reproducible research pipelines. Required Skills: - Strong analytical and quantitative foundation (probability, statistics, econometrics). - Proficiency in Python or R for data analysis, modeling, and prototype development. - Experience with large‑scale tick data processing and high‑frequency database management. - Advanced knowledge of machine‑learning algorithms (gradient boosting, deep learning, time‑series models). - Understanding of market microstructure, trading venues, and execution mechanics for at least one major asset class. - Ability to translate research insights into actionable trading strategies. - Excellent problem‑solving, project management, and communication skills. Required Education & Certifications: - PhD or exceptional Master’s/Bachelor’s degree in quantitative disciplines (Finance, Economics, Statistics, Applied Mathematics, Computer Science, or equivalent). - Professional certifications (e.g., FRM, CFA, or relevant machine‑learning credentials) are an advantage but not mandatory.

London, United kingdom

On site

08-12-2025

Company Name

Man Group

Job Title

Quantitative Researcher - PM Analytics

Job Description

Job title: Quantitative Researcher – PM Analytics Role Summary: Deliver data‑driven insights and analytics to support portfolio construction and resource allocation within AHL Portfolio Management. Expectations: Produce rapid, accurate analytics, code, and reports that inform decision‑making across the investment pipeline. Key Responsibilities: - Analyse large, complex datasets to extract actionable signals for portfolio analytics. - Design, develop, and maintain KPIs, metrics, and reporting frameworks for the entire estate. - Conduct research transforming raw data into intelligence for research and portfolio teams. - Implement and test statistical models, risk‑management tools, and portfolio risk analytics. - Collaborate with Data, Engineering, and Quant teams to integrate analytics into investment workflows. - Produce clear documentation and presentations for cross‑functional stakeholders. Required Skills: - Proficient in Python; strong coding, debugging, and rapid prototyping skills. - Deep expertise in statistics, probability, and quantitative methods. - Experienced with NumPy, SciPy, Pandas (or equivalent). - Comfortable handling large datasets and database technologies (SQL/Oracle, KDB+, Linux). - Knowledge of portfolio risk modeling and risk‑management techniques. - Familiarity with machine‑learning libraries (scikit‑learn, etc.) and data‑cleaning pipelines. - Excellent analytical reasoning, problem‑solving, and attention to detail. Required Education & Certifications: - Bachelor’s or Master’s degree (or equivalent) in Mathematics, Computer Science, Engineering, Economics, Physics, Quantitative Finance, or a related quantitative field from a recognised university. - Degree should demonstrate strong mathematical, statistical, and computing foundation.

London, United kingdom

On site

13-12-2025