Quantitative Researcher – Portfolio Analytics

Posted 7 Days Ago
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River Bank, Cambridgeshire, England
1-3 Years Experience
Financial Services
The Role
The Quantitative Researcher in Portfolio Analytics team will be responsible for delivering actionable insights through data analysis, code development, and research. The ideal candidate should have expertise in Python, statistics, and risk management, with a strong academic background in Mathematics, Computer Science, or related fields.
Summary Generated by Built In

The Team

AHL 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 Analytics

As 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 data
  • Developing analytics, KPIs, metrics
  • Carrying out research on transforming data to intelligence
  • Writing code, extracting insights and building reporting mechanisms
  • Rapidly building extensive knowledge of the AHL estate and leveraging this effectively in order to generate cross-functional insights and synergies

Technology and Business Skills

Essential

  • Expertise in a high-level programming language, ideally Python
  • Exceptional analytical skills; recognised by your peers as an expert in your domain
  • A deep understanding of statistics and an ability to apply to real world problems
  • Proficiency with NumPy/SciPy/Pandas or similar
  • Ease of handling large data sets
  • Understanding risk management techniques and portfolio risk modelling

Advantageous

  • Experience with analysing/managing complex risk
  • Either of portfolio management, systematic trading, QIS experience
  • Linux, SQL/Oracle, KDB+
  • Experience with machine learning libraries such as sklearn

Personal Attributes

  • 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
  • Exhibiting meticulous attention to detail
  • Keen interest or experience in Financial Markets
  • Hands-on attitude; willing to get involved with technology and projects across the firm
  • Intellectually robust with a keenly analytic approach to problem solving and a positive attitude
  • 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, technologist, traders and senior business people alike
  • Confident communicator; able to argue a point concisely and deal positively with conflicting views.

Working 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 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 team
  • We have a canteen onsite offering nutritious and well-balanced food selection catering to varying dietary requirements
  • As 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 printer
  • We host and sponsor London’s PyData and Machine Learning Meetups
  • Man 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 internship
  • We 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 qualifications.

Our Culture, Values and Benefits at Man

Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equal opportunities. 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. There are a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and that encourage inclusion and diversity across our firm and the industry. Man Group is a Signatory of the Women in Finance Charter and the Race at Work Charter. Man Group is also a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact [email protected]. https://www.man.com/diversity

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.

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 [email protected].

Top Skills

Python
The Company
HQ: New York, NY
2,471 Employees
On-site Workplace
Year Founded: 1783

What We Do

Man Group is a global active investment management firm, which runs $127 billion* of client capital in liquid and private markets, managed by investment specialists based around the world. Headquartered in London, the firm has 15 international offices and operates across multiple jurisdictions. Our business has five specialist investment engines, which represent the range of our capabilities: Man AHL, Man Numeric, Man GLG, Man FRM and Man GPM.

These engines house numerous investment teams, working collaboratively within the framework of Man Group, with a high degree of investment autonomy. Each team benefits from the strength and resources of the firm’s single operating platform, enabling their primary focus to be seeking to generate alpha for clients. The teams invest across a diverse range of strategies and asset classes with highly specialised approaches, with long only and alternative strategies run on a discretionary and quantitative basis in single and multi-manager formats. Our clients are at the heart of everything we do and we engage in close dialogue with our investors as strategic partners, to understand their particular needs and constraints. Man Group’s investment teams are empowered and supported by our institutional infrastructure and technology, which aims to facilitate the efficient exposure to markets and effective collaboration across the organisation.

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