Quantitative Researcher – Credit

About Man AHL

Man AHL employs diversified quantitative techniques to offer a range of strategies which encompass traditional momentum, non-traditional momentum, multi-strategy and sector-based approaches. Man AHL’s strategies are primarily alternative and seek to gain potential predictive, alpha-generating insights through rigorous analysis of large data sets

.
Man AHL is a specialised engine, applying scientific rigour and advanced technology and execution to a diverse range of data in order to build systematic investment strategies, trading continuously over hundreds of global markets. 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 the complex problems presented by financial market

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

ng.Founded in 1987, Man AHL’s funds under management were $63.8 billion at 31 March 2024. Further information can be found at www.man.com/a

hl.
The

Team
AHL Credit is the team responsible for the development of high Sharpe systematic strategies across the single-name credit space. The team look after a set of successful corporate bond and credit default swap (CDS) signals across regions, and we are now looking to further expand our range of innovative and diversifying strate

gies.
The ideal candidate will be developing systematic long-short strategies aimed at profiting from medium horizon price movements and will be involved in several areas of res

• earch:Development of new signals across the single name credit
• space.Improvement of existing strat
• egies.Research and development in portfolio construction techn
• iques.Research and development of execution techn

iques.
Technology and Business

• Skills
  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 r
• esearch.A deep understanding of statistics and an ability to apply analytical skills to real world p
• roblems.Strong coding skills and experience of handling large data sets. We use Python and its scientific stack for both research and live
• trading.Experience in portfolio construction – risk modelling, optimization, attributi
• on, etc.Cross-asset and/or corporate capital structure signal research experience is

a plus.
Personal A

• ttributes
  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 u
• niversity.Hands-on attitude; willing to get involved with technology and projects across
• the firm.Intellectually robust with a keenly analytic approach to proble
• m solving.Self-organised with the ability to effectively manage time across multiple projects and with contending business demands and p
• riorities.Strong interpersonal skills; able to build and maintain a close working relationship with quantitative researchers, technologist, traders and senior business peo
• ple alike.Confident communicator: able to argue a point concisely and deal positively with conflict

ing views.
W

orking 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 c

ontributors.
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 w

• hich to work.We have annual away days and research off-sites for t
• he whole teamWe have a canteen onsite offering nutritious and well-balanced food selection catering to varying dietary
• requirementsAs 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 a
• nd 3D printerWe host and sponsor London’s PyData and Machine Lea
• rning MeetupsMan 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 internshipWe open-source some of our technology. See https://github.com/man-group We regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. See @manquanttech

and @ManGroup
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 q