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# Quant Developer - Full-time

- **Company:** Anthelion Capital Partners LLC
- **Location:** New York, NY, United States
- **Salary:** $120,000.0 - $240,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Microsoft Azure, Information Engineering, Data Sharing, Monitoring of Systems, Python (Programming Language), Reference Data, Software Engineering
- **Published:** July 26, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=09ecfe313727367b

## About the Role

* Strong software engineering: Python plus at least one systems language, good design instincts, and the ability to build tooling other people depend on.
 * Solid grounding in quantitative finance - you understand what a Sharpe ratio, a risk factor, a backtest, or a portfolio optimizer actually means and why it's built the way it is, not just how to implement it. This is a quant + developer role.
 * Data engineering chops - pipelines, correctness under time (as-of-date / point-in-time), reliability.
 * A platform mindset: repeatable, guard-railed, self-service tooling over one-off scripts.
 * Nice to have: Dagster/Prefect, Azure, model-registry or feature-store experience, prior work at a quant/trading firm or a serious data platform, hands-on risk-modeling or portfolio-construction experience.

## Description

* The shared data layer - market and reference data ingestion, the feature/signal store, and the Dagster asset graph that orchestrates them, all point-in-time correct. This is the main overlap with research - you'll build it as shared, self-service infrastructure that researchers extend too.
 * The backtesting and simulation engine.
 * The portfolio-construction and optimization libraries PMs allocate through.
 * The model deployment pipeline: promoting a model from research to production by configuration, not by rewriting.
 * Monitoring and observability for live models and pipelines - the first line of defense when something drifts or breaks.

You'll also get exposure to risk-factor modeling and exposure analytics, and direct portfolio-manager support - strategy diagnostics, scenario analysis, and allocation questions.


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