Quant Developer / Quant Research Intern - 2026/2027
New York, NY · పార్ట్ టైమ్
దరఖాస్తు చేసుకునే వారిలో మొదటి వ్యక్తిగా ఉండండి
- అనుభవం
- ఏదైనా
- జీతం
- USD 1,800 – USD 2,000 / year
- ఖాళీలు
- 1
- పోస్ట్ చేయబడింది
- 3 గంటల క్రితం
- పని విధానం
- కార్యాలయంలో
- విద్య
- Undergraduate or higher in CS, mathematics, statistics, physics, or related quantitative field
- అర్హత
- Students currently pursuing undergraduate, master's, or PhD degrees in quantitative disciplines graduating from December 2026 through Summer 2028. PhD candidates with later graduation dates are also considered. Must have US work authorization or OPT eligibility during internship.
- పునఃప్రారంభం
- దరఖాస్తు చేసుకోవాలి
మీరు ఎక్కడ పని చేస్తారు
ఉద్యోగ వివరణ
About Anthelion Capital
Anthelion Capital is a data-driven investment platform that enhances traditional investment strategies with advanced data science, managing investments across the capital structure. The firm develops a proprietary system that supports the entire investment process, from underwriting to portfolio oversight.
Role Overview
As a quant research intern, you will collaborate closely with the quantitative team on developing essential components of the investment platform. This role does not require previous experience in finance or trading; instead, a strong quantitative and programming capability is valued, with domain knowledge taught on the job.
Key Responsibilities
- Implement market or reference data ingestion systems ensuring point-in-time accuracy without forward-looking bias.
- Design and validate factor or risk models focusing on robustness and out-of-sample performance.
- Develop tools facilitating the transition of research signals into production environments through configuration rather than code rewrites.
- Contribute to modules such as the backtesting/simulation engine, feature and signal storage, or portfolio optimization components.
Qualifications
- Currently enrolled in undergraduate, master's, or PhD programs in computer science, mathematics, statistics, physics or related quantitative disciplines.
- Proficient programming skills in Python; knowledge of C++, Rust, or other languages is advantageous.
- Strong foundation in statistics and machine learning with a critical approach toward overly optimistic results.
- Proven engagement in building technical projects through research, open-source contributions, competitive programming (e.g., ICPC, Codeforces), Kaggle competitions, olympiads, or significant personal projects.
- Desirable but not mandatory: familiarity with financial markets, data engineering, workflow orchestration tools like Dagster or Prefect, and cloud platforms such as Azure.
Additional Details
- Program Duration: 12-week onsite internship during Fall 2026 (Sept-Nov), Winter 2026 (Dec-Feb), or Summer 2027 (June-Aug).
- Applicants graduating between December 2026 and Summer 2028 are eligible; PhD students with later graduation dates may also apply.
- Location: Midtown, New York City (onsite only).
- Compensation: Weekly pay ranging from $1800 to $2000 based on academic progress.
- Strong intern performers are often considered for full-time employment opportunities.
- Authorization: Candidates must have valid US work authorization or be eligible for OPT during the internship.