Algorithm Development (Quant Research & Trading) Internship – Summer 2027
About the role
What to Expect
- Leverage our proprietary infrastructure (Python/C++) in conjunction with third-party tools to conduct quantitative research and data analysis
- Use machine learning and time series techniques to derive novel insights on market behavior from large and complex datasets
- Work on impactful projects in close collaboration with experienced researchers, traders, and developers
- Utilize our world-class compute cluster to run simulations and crunch data
- Build predictive models for financial markets using a combination of market and non-market data
- Attend and participate in Tech Talks that provide an overview of markets and HRT's trading philosophy
- Enjoy a curriculum of speakers, trading games, mentorships, and social events throughout the summer
Qualifications
- You are a full-time undergraduate or master's student in a quantitative discipline (math, physics, computer science, statistics, or a related program)
- Experience programming in Python is a must; C++ is desired for those interested in low-latency trading
- Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
- A passion for applying quantitative models and technology toward solving real-world problems
- Strong communication skills
We offer a weekly base salary offer in addition to a competitive signing bonus, company-paid housing, meals, and other perks.
New York: Weekly base salary of 5,800 USD Singapore: Weekly base salary of 7,650 SGD London: Weekly base salary of 4,350 GBP
We do not allow multiple applications. Please apply to the ONE role you are most interested in and we will consider you for all open positions when reviewing your application.
Culture
Not included in the source posting: about the role, benefits.
Skills
Who can apply
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