Quantitative Researcher
1 week ago
Overview
Our client, a leading proprietary crypto trading firm combining in-house research with a strong engineering culture, is seeking a highly analytical and technically gifted
Quantitative Researcher
to join their high-frequency trading team.
In this role, you’ll focus on refining features, designing better models, and advancing core research pipelines. You’ll collaborate closely with other researchers and engineers to push the boundaries of what’s possible in highly competitive electronic markets.
Responsibilities
Design, test, and refine features and model architectures to improve prediction and execution performance
Develop and improve research pipelines and tools for large-scale strategy simulation and optimization on a cutting-edge compute cluster
Conduct deep-dive analyses of market data, live strategy behavior, and model outputs to guide iterative improvements
Stay up-to-date on advances in quantitative methods, ML, and optimization — applying new insights to real-world challenges
Core Qualifications
1–5 years of experience in quantitative research, applied ML, or statistics
Fluency in Python and/or C++, with the ability to translate research concepts into performant, production-ready implementations
Strong knowledge of algorithms, linear algebra, statistics, and optimization techniques
Ability to uncover meaningful structure in noisy, high-frequency market data — from alpha signal extraction to modeling order book behavior
Can take research ideas from concept to experimental evaluation with minimal supervision
Preferred
Track record of PNL generation using model-driven strategies
Outstanding academic record in a quantitative field
Strong performance in competitive programming or quantitative olympiads
Seniority level
Associate
Employment type
Full-time
Job function
Research and Analyst
Industries: Capital Markets and Financial Services
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