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Quantitative Researcher - Portfolio Management - Man Group plc

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London

On-site

GBP 50,000 - 90,000

Full time

30+ days ago

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Job summary

An established industry player is seeking a Quantitative Researcher for its Portfolio Management team. This role involves enhancing portfolio performance through innovative research and robust risk management strategies. The ideal candidate will possess exceptional analytical skills and a strong background in statistics and programming, particularly in Python or R. With a collaborative culture that fosters professional growth and impact, this position offers the opportunity to contribute to meaningful projects in a dynamic environment. If you are passionate about quantitative research and eager to drive results, this role could be your next great opportunity.

Benefits

Competitive Compensation
Generous Holiday Allowance
Health Benefits
Flexible Benefits
Continuous Learning and Development
Coaching and Mentoring
Conference Attendance
Sponsorship for Qualifications

Qualifications

  • 3+ years of experience in a quantitative research or portfolio management role.
  • Strong understanding of statistics, machine learning, and portfolio construction.

Responsibilities

  • Improve existing portfolios and conduct cutting-edge research in alpha combination.
  • Manage day-to-day portfolio and risk management across AHL.

Skills

Analytical Skills
Statistics
Machine Learning
Portfolio Construction Techniques
Python
R
NumPy
SciPy
Pandas
Risk Management Techniques

Education

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

Job description

Quantitative Researcher - Portfolio Management
Man Group plc London, United Kingdom

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, Engineering and Monetisation.

The Portfolio Analytics team's purpose is to deliver quantifiable, transparent, and actionable insights into our research process.

The Portfolio Engineering team's purpose is to innovate in how we deliver alpha to clients.

Finally, the Portfolio Monetisation team's purpose is to maximise the dollar output of our research in our funds.

Portfolio Monetisation
As part of its mandate, the Portfolio Monetisation team is responsible for various research streams including alpha combination, alpha and fund allocations, portfolio construction and capacity evaluation. Additionally, the team is responsible for day-to-day portfolio management across AHL.

The ideal candidate will be a Quantitative Researcher or a Portfolio Manager with a strong background in portfolio construction with previous experience in risk-managing a book. The candidate will be involved in several areas:

  • Improvement of existing portfolios
  • Cutting edge research in alpha combination and allocations
  • Development of portfolio construction methods
  • Day to day portfolio and risk management
  • Contributing to AHL's overall research effort by interacting with and collaborating with other research teams

Technology and Business Skills
Essential

  • Exceptional analytical skills; recognised by your peers as an expert in your domain
  • A deep understanding of statistics/machine learning/portfolio construction techniques
  • 3+ years of experience in a similar position
  • Expertise in a high-level programming language such as Python, or R.
  • Proficiency with NumPy/SciPy/Pandas or similar
  • Ease of handling large datasets
  • Understanding risk management techniques and portfolio risk modelling
  • Portfolio management experience is a plus

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
  • Hands-on attitude; willing to get involved with technology and projects across the firm
  • Intellectually robust with a keenly analytic approach to problem solving
  • 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 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.

Our Culture, Values and Benefits at Man
Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equal opportunities. At Man Group we believe that a diverse workforce is a critical factor in the success of our business and this is embedded in our culture and values.

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