Quantitative Researcher - PM Analytics

Man Group plc; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading investment management firm in Greater London is seeking a Quantitative Researcher to join their Portfolio Analytics team. The role involves analyzing vast data, developing metrics, and leveraging insights to drive investment decisions. The ideal candidate will possess strong programming skills, particularly in Python, and have a solid understanding of statistics. They will play a crucial role in transforming data into actionable intelligence. Offering a performance-driven culture and engaging work environment, this position presents numerous opportunities for growth and impact.

Benefits

Wellness room with Peloton bikes

Music room including a piano

Annual away days

Qualifications

• Strong academic record with mathematical and statistical content.
• Meticulous attention to detail and keen interest in Financial Markets.
• Ability to manage time across multiple projects.

Responsibilities

• Analyse vast amounts of data and develop analytics.
• Carry out research on transforming data into intelligence.
• Write code and build reporting mechanisms.

Skills

Expertise in Python

Exceptional analytical skills

Deep understanding of statistics

Proficiency with NumPy/SciPy/Pandas

Handling large data sets

Education

Degree in Mathematics, Computer Science, Engineering, Economics, or Physics

Tools

SQL/Oracle

Machine learning libraries (sklearn)

Job description

Quantitative Researcher - PM Analytics

About Man AHL :

Man AHL is one of the world’s longest running diversified systematic investment managers, trading in over 800 markets globally and offering a range of absolute return and long‑only quantitative strategies that invest across traditional and alternative markets.

With over three decades of quantitative investment experience, Man AHL is committed to constant innovation and evolution of research. It applies advanced technology and scientific rigour to every stage of the investment process, from data curation and cleaning through to signal generation, risk management and execution. It views risk management and trading and execution as central to alpha generation, and its strategies are designed to understand risk, take appropriate exposures and, where necessary, dynamically adjust exposure.

Man AHL brings together scientists, academics, technologists and finance practitioners who are driven by curiosity, intellectual honesty and a passion for solving the complex problems presented by financial markets. It works closely with the Oxford‑Man Institute of Quantitative Finance (OMI), Man Group’s unique collaboration with the University of Oxford, and leverages insights from its field‑leading academic research into machine learning and data analytics.

Further information can be found at .

The Team :

AHL Portfolio Management is the team responsible for the portfolio construction and investment management of the firm’s flagship fund. The team has been running for several years. It manages a diverse set of funds both in terms of trading styles and asset classes. It is also responsible for portfolio construction as well as allocation research inside AHL.

The Portfolio Management area is split into two sub teams : Analytics and Monetisation. The Portfolio Analytics team’s purpose is to deliver quantifiable, transparent, and actionable insights into our research process.

The Portfolio Monetisation team’s purpose is to maximise the dollar output of our research in our funds.

Portfolio Analytics :

As part of its mandate, the Portfolio Analytics team is ultimately responsible for delivering transformative actionable insights on the entire estate pipeline, from signal to fund level information. We are an integral part of the decision‑making process within AHL for where resources and research efforts are allocated, and our work is a fundamental node in the feedback loop of Portfolio Management and AHL processes.

Team members of Portfolio Analytics team need to be technically strong, write good code rapidly, have strong attention to detail, an aptitude for understanding the internal workings of systems and processes, and a natural talent for uncovering insights.

The ideal candidate will be involved in several areas :

• Working with and analysing a vast amount of data
• Developing analytics, KPIs, metrics
• Carrying out research on transforming data to intelligence
• Writing code, extracting insights and building reporting mechanisms
• Rapidly building extensive knowledge of the AHL estate and leveraging this effectively to generate cross‑functional insights and synergies

Technology and Business Skills :

Essential :

• Expertise in a high‑level programming language, ideally Python
• Exceptional analytical skills; recognised by your peers as an expert in your domain
• A deep understanding of statistics and an ability to apply to real world problems
• Proficiency with NumPy / SciPy / Pandas or similar
• Ease of handling large data sets
• Understanding risk management techniques and portfolio risk modelling

Advantageous :

• Experience with analysing / managing complex risk
• Either Portfolio Management, systematic Trading, QIS, Financial Engineering experience
• Linux, SQL / Oracle, KDB+
• Experience with machine learning libraries such as sklearn

Personal Attributes :

• Strong academic record and a degree with high mathematical, statistical and computing content Mathematics, Computer Science, Engineering, Economics or Physics from a leading university
• Exhibiting meticulous attention to detail
• Keen interest or experience in Financial Markets
• Hands‑on attitude; willing to get involved with technology and projects across the firm
• Intellectually robust with a keenly analytic approach to problem solving and a positive attitude
• Self‑organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities
• Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, technologists, traders and senior business people alike
• Confident communicator; able to argue a point concisely and deal positively with conflicting views

Working Here :

AHL fosters a performance‑driven culture, akin to a small‑company, no‑attitude feel. It is flat structured, open, transparent, and collaborative, offering ample opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader research and academic community, as well as renowned industry contributors.

We’re fortunate enough to have a fantastic open‑plan office overlooking the River Thames and continually strive to make our environment a great place in which to work.

• We have annual away days and research off‑sites for the whole team
• As well as PCs and Macs in our office, you’ll also find numerous amenities such as a Wellness room featuring Peloton bikes, a music room with notably a piano and guitar and a Maker space with light cubes and 3D printer
• We host and sponsor London’s PyData and Machine Learning Meetups
• Man Group has proudly partnered with King’s College London Mathematics School for many years, which offers employees the opportunity to supervise a group of students on a scientific research project or internship
• We open‑source some of our technology. See
• We regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. See and

Job ID 4367799101