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About the Role
Man AHL is seeking a candidate to join the AHL Portfolio Management team, responsible for portfolio construction and investment management of the firm's flagship fund. The role involves improving existing portfolios, conducting research in alpha combination and allocations, developing portfolio construction methods, and managing day-to-day portfolio and risk.
Responsibilities
- 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.
Requirements
- More than 1 year of post-graduate work experience on the buy side or sell side.
- Exceptional analytical skills; recognised by your peers as an expert in your domain.
- A deep understanding of statistics/machine learning/portfolio construction techniques.
- Expertise in a high-level programming language such as Python.
- Proficiency with NumPy/SciPy/Pandas or similar.
- Ease of handling large data sets.
- Understanding risk management techniques and portfolio risk modelling.
- Portfolio management experience is a plus.
- 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, technologists, traders and senior business people alike.
- Confident communicator; able to argue a point concisely and deal positively with conflicting views.
Skills
- Statistics
- Machine learning
- Portfolio construction techniques
- Python
- NumPy
- SciPy
- Pandas
- Handling large data sets
- Risk management techniques
- Portfolio risk modelling
Location
- London
Work Type
- Flexible working arrangements
Experience Level
-
1 years post graduate work experience
Education Level
- Degree with high mathematical, statistical and computing content (e.g. Mathematics, Computer Science, Engineering, Economics or Physics from a leading university)
Benefits
- Competitive holiday entitlements
- Pension/401k
- Life and long-term disability coverage
- Group sick pay
- Enhanced parental leave
- Long-service leave
- Private medical coverage (depending on location)
- Discounted gym membership options (depending on location)
- Pet insurance (depending on location)
- Two annual 'Mankind' days of paid leave for community volunteering
About the Company
- Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via its Systematic, Discretionary and Solutions offerings.
- Man Group manages $253.6 billion and operates 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.
- 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.
- Man AHL applies advanced technology and scientific rigour to every stage of the investment process.
- Man AHL brings together scientists, academics, technologists and finance practitioners.
- Man AHL works closely with the Oxford-Man Institute of Quantitative Finance (OMI), Man Group’s unique collaboration with the University of Oxford.
Equal Opportunity
- Man Group champions equality of opportunity, inclusion is fundamental and deeply embedded in our culture and values.
- 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.
- Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.