Systematic Fast Trading Intern

Man Group

New York (NY)

On-site

USD 69,000 - 83,000

Full time

4 days ago
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Benefits offered by this job

Two annual 'Mankind' days
Competitive benefits package
Pension/401k

Job summary

Man Group invites PhD candidates to apply for a summer internship in New York, focused on machine learning and high-frequency research. Interns will work on MLE and QR tracks, engaging in software development, model building, and deployment within a fast-paced trading research environment.

Ideal candidates bring strong Python skills, ML knowledge, and a passion for finance technology. The program emphasizes hands-on learning, collaboration, and exposure to cutting-edge research.

Qualifications

  • The MLE role focuses on machine learning applications, MLOps, and research workflows, with coding in various languages (especially Python).
  • The QR role focuses on high-frequency data and ML algorithms to predict asset returns, deploying models with strong Python programming skills, and prior ML/research internship experience.

Responsibilities

  • Support development of ML-focused trading research and infrastructure.
  • Collaborate with MLOps to deploy models and manage research workflows.

Skills

Python
ML algorithms
MLOps
Research workflows

Education

PhD candidates

Job description

About Man Group

Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.


Headquartered in London, we manage $253.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com. At Man Group, we respect your privacy and we are committed to protecting and safeguarding your Personal Data. We have developed policies and processes which are designed to provide for the security and integrity of your Personal Data. We are committed to Processing your Personal Data fairly and lawfully, and being open and transparent about such Processing. For further information on how we process your data, please see the privacy notice for applicants here.


The Team

Man Systematics’ Fast Trading Strategies (FTS) team is responsible for the development of high Sharpe, high-frequency trading strategies across all asset classes. The team has been running for over a decade and currently manages a large and successful portfolio across both global futures and cash markets. The FTS team is responsible for the full end to end development of the fast alpha portfolio, using several techniques to capture fast alphas, ML, event driven, microstructure based etc, building its own customized monetization stack, and optimizing trading and order placement with dedicated high-frequency infrastructure.


This posting is specifically for candidates interested in interning in the New York office, which houses Man Systematics’ business unit focused on high-frequency alpha research, trading, and infrastructure.


Who Should Apply?

The team is currently hiring PhD students for an MLE/QR internship with strong academic achievement in highly technical degree programs who are interested in a summer internship (expected to be between 10 – 12 weeks).


Kindly note that our summer internships are open to penultimate year students only.


Purpose of the Role


  • The MLE role is ideal for individuals who are passionate about software that is focused on machine learning applications such as MLOps and research workflows. Because MLEs are also expected to use their own software, the ideal candidate not only has experience coding in a variety of languages (especially Python) but also has knowledge of ML algorithms and research processes.

  • The QR role is ideal for individuals who are passionate about using high frequency tick data and machine learning algorithms to predict asset returns and converting those models into profitable trading strategies. QRs will work closely with MLOps in deploying models and therefore are required to be strong programmers in a variety of languages (especially Python). Previous ML or statistical research internship experience in finance, technology, or academia is strongly preferred.


Working Here

Man Systematic 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 modern high-rise office in central Midtown conveniently located near Central Park 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 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.

  • Our Oxford lab is collocated with the Oxford-Man Institute of Quantitative Finance (https://bit.ly/36goTic) and the Machine Learning Research Group in Engineering Science, University of Oxford (https://bit.ly/2MSHDwy)


The anticipated based salary range for this position is listed below. Compensation packages would also include benefits and a discretionary bonus. This is the base salary range that the Company believes it will pay for this position at the time of this posting based on the location and requirements of the position as well as the skills, qualifications, and experience of the applicant. The Firm reserves the right to modify this pay range at any time.


US Pay Range: $50 USD - $60 USD


Inclusion, Work-Life Balance And Benefits At Man Group

You’ll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you’ll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity.


You’ll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you’ll receive two annual 'Mankind' days of paid leave for community volunteering.


Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.


Equal Employment Opportunity Policy

Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.


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 TalentAcquisition@man.com.

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