At a Glance
- Tasks: Join our team to analyse data and develop actionable insights for investment strategies.
- Company: Man Group is a leading global investment management firm focused on delivering exceptional client outcomes.
- Benefits: Enjoy flexible working, competitive pay, wellness amenities, and opportunities for professional growth.
- Why this job: Be part of a collaborative culture that values innovation and offers real impact in finance.
- Qualifications: Strong programming skills in Python and a background in mathematics or computer science are essential.
- Other info: Work in a vibrant office overlooking the Thames with access to unique amenities and community initiatives.
The predicted salary is between 43200 - 72000 £ per year.
Job Application for Quantitative Researcher – PM Analytics at Man GroupLondon
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 $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. Further information can be found at www.man.com.
* As at 31 March 2025
The Team
AHL Portfolio Management is the team responsible for the portfolio construction and investment management of the firm’s flagship funds as well as the AIS (AHL Investment Solutions) business. 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 three sub teams: Analytics, Monetisation and Engineering.
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.
Finally, the Portfolio Engineering team’s purpose is to innovate in how we deliver alpha to clients.
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 in order 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
- 1-3+ years\’ experience in an Investment Bank or similar firm
- Experience with analysing/managing complex risk
- Either of portfolio management, systematic trading, QIS 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 e.g. 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, technologist, 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, meritocratic culture with 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
- We have a canteen onsite offering nutritious and well-balanced food selection catering to varying dietary requirements
- 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
We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications.
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. Learn more at www.man.com/diversity.
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.
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Quantitative Researcher - PM Analytics employer: LGBT Great
Contact Detail:
LGBT Great Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher - PM Analytics
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative research and analytics, especially in the context of portfolio management. This will not only help you understand the role better but also allow you to engage in informed discussions during interviews.
✨Tip Number 2
Network with professionals in the finance and investment sectors, particularly those who work in quantitative roles. Attend industry meetups or conferences, such as those hosted by Man Group, to make connections that could lead to referrals.
✨Tip Number 3
Brush up on your coding skills, particularly in Python and libraries like NumPy and Pandas. Consider working on personal projects or contributing to open-source initiatives to demonstrate your technical abilities and passion for the field.
✨Tip Number 4
Prepare to discuss your analytical approach and problem-solving strategies in detail. Be ready to provide examples of how you've applied statistical methods to real-world problems, as this will showcase your expertise and fit for the role.
We think you need these skills to ace Quantitative Researcher - PM Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the requirements of the Quantitative Researcher position. Emphasise your expertise in programming languages, analytical skills, and any experience with financial markets.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are interested in the role at Man Group and how your background makes you a suitable candidate. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Technical Skills: In your application, clearly demonstrate your proficiency in high-level programming languages like Python, as well as your experience with data analysis tools such as NumPy, SciPy, and Pandas. Provide examples of projects or tasks where you've successfully applied these skills.
Highlight Problem-Solving Abilities: Illustrate your analytical thinking and problem-solving skills by including examples from previous roles or academic projects. Discuss how you approached complex problems and the outcomes of your solutions, particularly in relation to quantitative research.
How to prepare for a job interview at LGBT Great
✨Showcase Your Technical Skills
As a Quantitative Researcher, you'll need to demonstrate your expertise in programming languages, particularly Python. Be prepared to discuss your experience with libraries like NumPy, SciPy, and Pandas, and consider bringing examples of your work or projects that highlight your coding abilities.
✨Understand the Financial Markets
Having a keen interest in financial markets is crucial for this role. Brush up on current trends, key players, and recent developments in the investment landscape. This knowledge will not only help you answer questions but also show your enthusiasm for the field.
✨Prepare for Analytical Challenges
Expect to face analytical problems during the interview. Practice solving real-world statistical problems and be ready to explain your thought process. This will showcase your analytical skills and your ability to apply them to practical situations.
✨Communicate Clearly and Confidently
Strong communication skills are essential for collaborating with various teams. Practice articulating your ideas clearly and concisely. Be prepared to discuss how you've effectively communicated complex concepts in previous roles or projects.