Quantitative Researcher - Systematic Trading (ML Focus)

Hunter Bond • Denmark

Remote Relocation

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AI Summary

Hunter Bond is seeking a pioneering Quantitative Researcher to build a new systematic trading research team. This hands-on role involves designing and implementing ML-based strategies, modeling risk, and bringing research from theory to production. The ideal candidate will have a strong quantitative background and a passion for scientific rigor in financial markets.

Key Highlights

Build a systematic trading research team from the ground up.

Define alpha generation, risk modeling, and research-to-production pipelines.

Develop and implement robust, risk-aware trading strategies using advanced ML and statistical techniques.

Shape the long-term research agenda and team processes.

Technical Skills Required

Python NumPy pandas PyTorch Machine Learning Quantitative Finance Statistical Modeling

Benefits & Perks

Opportunity to define research culture from day one.

Build a new team and systems from scratch.

Relocation assistance from anywhere welcome.

Based in Denmark.

Job Description

Our client is building a new systematic trading research team from the ground up — applying machine learning and quantitative methods to the markets.

As their first Quantitative Researcher, you’ll define how we generate alpha, model risk, and bring research from theory to production. This is a hands-on role where creativity meets scientific rigor.

What You’ll Do

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