Systematic Fast Trading Intern

OnsitePosted 1 week ago

Job details

Location
NYC
Work type
Onsite
Posted
1 week ago
Apply on
job-boards.eu.greenhouse.io

About this role

## 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. ## 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, including ML, event driven, and microstructure-based approaches; 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 and 12 weeks. Candidates are encouraged to submit only one application using their university email address. The application requires a resume that includes all completed and in-progress post-secondary education GPAs. School transcripts may be optionally provided immediately or later in the process. 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 focused on machine learning applications such as MLOps and research workflows. Because MLEs are also expected to use their own software, the ideal candidate has experience coding in a variety of languages, especially Python, and 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 work closely with MLOps in deploying models and 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 an impact. The team is actively engaged with the broader research and academic community, as well as renowned industry contributors. The team has a modern high-rise office in central Midtown near Central Park and continually strives to make its environment a great place to work. - Annual away days and research off-sites for the whole team. - Some technology is open-sourced. - Team members regularly speak at leading industry conferences and share relevant technology and how it is used. - The Oxford lab is collocated with the Oxford-Man Institute of Quantitative Finance and the Machine Learning Research Group in Engineering Science at the University of Oxford. ## Compensation The anticipated base salary range for this position is $50–$60 USD. Compensation packages also include benefits and a discretionary bonus. The stated range is the base salary range the Company believes it will pay at the time of posting based on location, role requirements, and the applicant’s skills, qualifications, and experience. The Firm reserves the right to modify this pay range at any time. ## Inclusion, Work-Life Balance and Benefits Man Group champions equality of opportunity and inclusion. Employees can participate in charitable and global initiatives, access professional development, and use flexible working arrangements. Employees receive two annual paid “Mankind” days for community volunteering. The 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 location, additional benefits may include private medical coverage, discounted gym membership options, and pet insurance. ## Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and 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. Applicants who require help or information on reasonable adjustments may contact [email protected].
Ready to apply to Man Group?
ApplyBolt finds matching jobs, tailors your resume, and submits applications for you.

About Man Group