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Anthelion Capital

Quant Developer / Quant Research Intern - 2026/2027

Reposted One Month Ago
In-Office
New York City, NY, USA
2K-2K Hourly
Internship
In-Office
New York City, NY, USA
2K-2K Hourly
Internship
Work with the quant team to build components of a systematic investment platform: data ingestion with point-in-time correctness, factor and risk model development, research-to-production tooling, backtesting/simulation, feature store, and portfolio optimization. Internship emphasizes robust, out-of-sample-valid research and software engineering.
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About Anthelion

Anthelion Capital is an investment and data science platform. We augment our fundamental investment core with data science to make investments across the capital structure. We are building a proprietary platform that runs the full investment lifecycle, from underwriting to portfolio management.

What you'll do.

As an intern, you'll work directly with our quant team on a real piece of that platform.

Build the systems a systematic investment platform runs on — from the inside.

No prior finance, credit, or trading experience is required — we hire for quantitative and engineering ability and teach the domain.

What you might work on (matched to your strengths):

· Market or reference data ingestion with point-in-time correctness (no lookahead, as-of-date correct).

· Building and validating a candidate factor or risk model on the emerging platform, with an emphasis on robustness and out-of-sample validity.

· A piece of the research-to-production path — the tooling that promotes a signal to production by configuration rather than a rewrite.

· A component of the backtesting / simulation engine, the feature/signal store, or the portfolio optimizer.

We're looking for:

· Currently pursuing an undergrad, master's, or PhD in CS, math, statistics, physics, or a related quantitative field.

· Strong programming ability in Python (C++, Rust, or another language is a plus).

· Solid fundamentals in statistics and/or ML, and the instinct to be suspicious of results that look too good.

· Evidence of building things and going deep — research, open source, competitive programming (ICPC/Codeforces), Kaggle, olympiads, or substantial personal projects.

· Nice to have: exposure to markets/investing, data engineering, orchestration tools (Dagster/Prefect), or cloud (Azure).

Logistics: 12-week onsite internship — Fall 2026 (September–November); Winter 2026 (December–February); or Summer 2027 (June–August). Open to students graduating December 2026 through Summer 2028; PhD candidates with later graduation dates are also considered.


Additional Details:

Compensation: $1800 - $2000 per week depending on level of coursework. Strong interns are our primary source of full-time offers.

Location: Onsite, Midtown, New York City

Other: Must have US work authorization or ability to use OPT during the time of your internship.

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