Quantitative Researcher – Portfolio Analytics

The TeamAHL 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, Monetisation and Engineering.The Portfolio Analytics team’s purpose is to deliver quantifiable, transparent, and actionable insights into our research process.The Portfolio Monetisation team’s purpose is to maximise the dollar output of our research in our funds.Finally, the Portfolio Engineering team’s purpose is to innovate in how we deliver alpha to clients.Portfolio AnalyticsAs part of its mandate, the Portfolio Analytics team is ultimately responsible for delivering transformative actionable insights on the entire estate pipeline, from signal to fund level information. We are an integral part of the decision-making process within AHL for where resources and research efforts are allocated, and our work is a fundamental node in the feedback loop of Portfolio Management and AHL processes.Team members of Portfolio Analytics team need to be technically strong, write good code rapidly, have strong attention to detail, an aptitude for understanding the internal workings of systems and processes, and a natural talent for uncovering insights.The ideal candidate will be involved in several areas:Working with and analysing a vast amount of dataDeveloping analytics, KPIs, metricsCarrying out research on transforming data to intelligenceWriting code, extracting insights and building reporting mechanismsRapidly building extensive knowledge of the AHL estate and leveraging this effectively in order to generate cross-functional insights and synergiesTechnology and Business SkillsEssentialExpertise in a high-level programming language, ideally PythonExceptional analytical skills; recognised by your peers as an expert in your domainA deep understanding of statistics and an ability to apply to real world problemsProficiency with NumPy/SciPy/Pandas or similarEase of handling large data setsUnderstanding risk management techniques and portfolio risk modellingAdvantageousExperience with analysing/managing complex riskEither of portfolio management, systematic trading, QIS experienceLinux, SQL/Oracle, KDB+Experience with machine learning libraries such as sklearnPersonal AttributesStrong academic record and a degree with high mathematical, statistical and computing content e.g. Mathematics, Computer Science, Engineering, Economics or Physics from a leading universityExhibiting meticulous attention to detailKeen interest or experience in Financial MarketsHands-on attitude; willing to get involved with technology and projects across the firmIntellectually robust with a keenly analytic approach to problem solving and a positive attitudeSelf-organised with the ability to effectively manage time across multiple projects and with competing business demands and prioritiesStrong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, technologist, traders and senior business people alikeConfident communicator; able to argue a point concisely and deal positively with conflicting views.Working HereAHL 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’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 which to work.We have annual away days and research off-sites for the 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 and 3D printerWe host and sponsor London’s PyData and Machine Learning 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 regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. See @manquanttech and @ManGroupWe 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.About Man AHLMan 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.With over three decades of quantitative investment experience, Man AHL is committed to constant innovation and evolution of research. It applies advanced technology and scientific rigour to every stage of the investment process, from data curation and cleaning through to signal generation, risk management and execution. It views risk management and trading and execution as central to alpha generation, and its strategies are designed to understand risk, take appropriate exposures and, where necessary, dynamically adjust exposure.Man AHL brings together scientists, academics, technologists and finance practitioners who are driven by curiosity, intellectual honesty and a passion for solving the complex problems presented by financial markets.It works closely with the Oxford-Man Institute of Quantitative Finance (OMI), Man Group’s unique collaboration with the University of Oxford, and leverages insights from its field-leading academic research into machine learning and data analytics.Founded in 1987, Man AHL’s assets under management were $58.6 billion at 30 September 2023. Further information can be found at www.man.com/ahl.Work-Life Balance and Benefits at ManMan Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. 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. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry. Man Group is also a Signatory of the Women in Finance Charter.Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme.We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave.Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
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