Quantitative Researcher – Credit

2 months ago

London, Greater London, United Kingdom Man Group Full time
About Man AHL

Man AHL is a leading quantitative investment manager that employs diversified techniques to offer a range of strategies across traditional and non-traditional momentum, multi-strategy, and sector-based approaches.

The team of 150 investment professionals, including 110 researchers, is comprised of scientists, technologists, and finance practitioners driven by curiosity and intellectual honesty, and a passion for solving complex problems presented by financial markets.

The engine leverages Man Group's unique collaboration with the University of Oxford, the Oxford-Man Institute of Quantitative Finance (OMI), to conduct field-leading academic research into machine learning and data analytics, which can be applied to quantitative investing.

The Team

AHL Credit is the team responsible for the development of high Sharpe systematic strategies across the single-name credit space.

The team looks after a set of successful corporate bond and credit default swap (CDS) signals across regions and is now looking to further expand its range of innovative and diversifying strategies.

Key Responsibilities
  • Developing systematic long-short strategies aimed at profiting from medium horizon price movements
  • Researching and developing new signals across the single-name credit space
  • Improving existing strategies
  • Researching and developing portfolio construction techniques
  • Researching and developing execution techniques
Requirements
  • 2+ years of experience researching and live trading alpha signals for single-name credit (bonds and/or CDS)
  • Demonstrable understanding of single-name IG and HY credit markets in the US and Europe
  • Experience in conducting both statistical and fundamental credit signal research
  • A deep understanding of statistics and an ability to apply analytical skills to real-world problems
  • Strong coding skills and experience of handling large data sets
  • Experience in portfolio construction – risk modelling, optimization, attribution, etc.
  • Cross-asset and/or corporate capital structure signal research experience is a plus
Personal Attributes
  • Strong academic record and a degree with high mathematical, statistical, and computing content
  • 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 contending business demands and priorities
  • Strong interpersonal skills; able to build 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 at Man Group

Man Group fosters a performance-driven, meritocratic culture with a small company, no-attitude feel.

The firm 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 committed to continuous learning and development via coaching, mentoring, regular conference attendance, and sponsoring academic and professional qualifications.

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