Quant Platform Engineer - End-to-End Data & Backtests

Anthelion Capital; New York (NY); On-site; USD 120,000 - 240,000; Full time

Benefits offered by this job

Performance-based bonus

Job summary

Anthelion Capital is seeking a quant engineer to own the quant engineering platform end-to-end. You will build the shared data layer, the backtester, the deployment path, and the monitoring that keeps live models honest.

You will work alongside researchers and PMs, providing exposure analytics, risk-factor modeling and strategy diagnostics, with a platform mindset for repeatable, self-service tooling. Onsite in Midtown, New York City, with US work authorization.

Qualifications

• Strong software engineering with Python and at least one systems language.
• Solid grounding in quantitative finance concepts (e.g., Sharpe ratio, backtesting).
• Experience building data pipelines with correct as-of-date semantics.
• Ability to build reusable, self-service tooling.

Responsibilities

• Own the quant engineering platform end-to-end, including data layer, backtester, deployment path, and monitoring.
• Collaborate with researchers and PMs; provide risk analytics, scenario analysis, and strategy diagnostics.
• Build guard-railed tooling to enable researchers to work efficiently.

Skills

Python

Quantitative finance

Data engineering

System design

Self-service tooling

Tools

Dagster

Prefect

Azure

Model registry

Feature store

Job description

Anthelion Capital is seeking a quant engineer to own the quant engineering platform end-to-end. You will build the shared data layer, the backtester, the deployment path, and the monitoring that keeps live models honest.

You will work alongside researchers and PMs, providing exposure analytics, risk-factor modeling and strategy diagnostics, with a platform mindset for repeatable, self-service tooling. Onsite in Midtown, New York City, with US work authorization.