Quant Researcher: Turn Signals into Live Trading

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

Job summary

Anthelion Capital is a research‑driven investment firm building a proprietary data science platform to run the full investment lifecycle.

You will build predictive signals, validate them rigorously, and collaborate with portfolio managers to allocate capital based on real results. You will own datasets and signals from idea to live production, extend data pipelines, and shape the research platform while guarding against overfitting and look‑ahead bias.

Qualifications

• PhD or master's in a quantitative field (or exceptional undergrad).
• Depth in statistics and/or machine learning.
• Comfortable with Python and large, messy datasets.
• Rigorous about overfitting and look‑ahead bias; strong research discipline.

Responsibilities

• Build predictive signals that drive real trading decisions.
• Generate original signals, validate them rigorously, and work with portfolio managers to allocate against real capital.
• Own assigned datasets and signals—from idea to live signal on the platform.
• Source, curate, and shape datasets into validated factors for the shared data pipelines.
• Turn research into production by moving signals from notebook to running, monitored pipelines.
• Contribute to shaping the research platform, factor library, and prod conventions.

Skills

Statistics

Machine Learning

Python

Data Engineering

Research

Education

PhD or Masters in quantitative field (or exceptional undergrad)

Job description

Anthelion Capital is a research‑driven investment firm building a proprietary data science platform to run the full investment lifecycle.

You will build predictive signals, validate them rigorously, and collaborate with portfolio managers to allocate capital based on real results. You will own datasets and signals from idea to live production, extend data pipelines, and shape the research platform while guarding against overfitting and look‑ahead bias.