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Quantitative Researcher -...

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Man Group, City of Westminster

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Quantitative Researcher -...

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Man Group, City of Westminster

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Staff Platform Infrastruc...

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Collibra, City of Westminster

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Senior Infrastructure Eng...

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Assala Energy, Brook Green, Hammersmith and Fulham

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Data & AI Consultant

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Infosys Limited, City of Westminster

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Senior Software Engineer ...

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Mastercard, City of Westminster

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Lead Openlink Endur Devel...

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Arthur Lawrence, City of Westminster

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Junior Data Engineer - 12...

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Smartest Energy, City of Westminster

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PHP Symfony Engineer

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IQ-EQ, City of Westminster

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Associate Professional Se...

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LexisNexis Risk Solutions, Watford

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End User Technology Deskt...

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Guy's and St. Thomas' NHS Foundation Trust, City of Westminster

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DB2 Database Administrato...

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Infoplus Technologies UK Ltd, City of Westminster

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Project Manager Apprentic...

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Product Madness, St James, City of Westminster

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IT Support Engineer - Eps...

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Royal Automobile Club, Ewell, Surrey

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Senior DevOps Engineer

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Nordcloud, North Southwark, Southwark

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Global Specialist - HR Re...

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Smith & Nephew, Watford

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Senior Data Engineer

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Royal Mail, City of Westminster

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Director, Customer Experi...

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Mimecast Limited, City of Westminster

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Data Platform Architect -...

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Smartest Energy, City of Westminster

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Security Consultant

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NCC Group, City of Westminster

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Quantitative Researcher - Specialist Equities

Salary not available. View on company website.

Man Group, City of Westminster

  • Onsite working
  • Full time
  • Permanent

Posted today, 25 Jul

Job ref: b0eb056de8a940e0b8b7845d819fce07

Full Job Description

Quantitative Researcher - Specialist Equities


Man Group plc


London, United Kingdom


Permanent


2025-07-24T14:38:43.870Z


23009100


Full time


Competitive


Job Profile Summary


To conduct research and develop strategies which will improve AHL's trading of financial markets across AHL research.


Responsibilities



  • Assist in running AHL's Short-term Trading strategies smoothly in collaboration with Operations and Trading.

  • Be a systems and implementation expert in collaboration with other technically minded team members.

  • Follow markets and their impact on the trading model (performance reviews): propose appropriate model diagnostics: feedback observations into research.

  • Research, develop and implement research and strategies trading in the Short-term Trading sector.

  • Contribute to AHL's overall research effort by collaborating with other teams across AHL.

  • Follow industry/academic literature for innovations and suggest how AHL can profit from this.

  • Applying quantitative techniques and market intuition to large, often novel or unconventional, datasets and cultivate areas of expertise along the way.

  • Contribute to the business' overall research effort by interacting with and collaborating with other research teams.


Key Skills & Experience



  • PhD or exceptional Masters qualification in quantitative subject.

  • Knowledge/understanding of the structure and drivers of returns in financial markets.

  • A demonstrable interest in algorithmic trading, financial derivatives, and markets in general.

  • Able to create a range of trading strategies, with in-depth knowledge of at least one AHL trading strategy, understands the underlying structures and behaviours of the market.

  • Able to implement trading strategies using Python. Ideally have an aptitude with other programming languages e.g. CIC++, Java or similar, familiarity with Linux/Unix.

  • Aware of what statistical and mathematical tools and techniques are available and able to independently decide what is appropriate to use in which circumstances.

  • Able to write clear, concise, and informative technical reports and proposals.

  • 3 years' work experience in researching and developing strategies in equities.

  • Exceptional quantitative as well as programming skills.

  • Entrepreneurial team player, able to push and discuss views with the rest of the team and contribute to our wider research agenda.


#s1-Gen

interacting with and collaborating with other research teams Key Skills & Experience: PhD or exceptional Masters qualification in quantitative subject Knowledge/understanding of the structure and drivers of returns in financial markets A demonstrable interest in algorithmic trading, financial derivatives, and markets in general Able to create a range of trading strategies, with in-depth knowledge of at least one AHL trading strategy, understands the underlying structures and behaviours of the market Able to implement trading strategies using Python. Ideally have an aptitude with other programming languages e.g. CIC++, Java or similar, familiarity with Linux/Unix Aware of what statistical and mathematical tools and techniques are available and able to independently decide what is appropriate to use in which circumstances Able to write clear, concise, and informative technical reports and proposals 3 years' work experience in researching and developing strategies in equities Exceptional
quantitative as well as programming skills Entrepreneurial team player, able to push and discuss views with the rest of the team and contribute to our wider research agenda

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