Quantitative Researcher (crypto)

AAA Global; New York (NY); On-site; USD 80,000 - 120,000; Full time

Job summary

A leading proprietary crypto trading firm is seeking a Quantitative Researcher in New York. You will improve prediction performance, develop research pipelines, and conduct market analysis. Strong Python or C++ skills and experience in quantitative research are essential. This full-time role offers an associate level position in a fast-paced environment.

Qualifications

• 1–5 years of experience in quantitative research or applied ML.
• Fluency in Python and/or C++ for production-ready implementations.
• Strong knowledge of algorithms, linear algebra, and optimization.

Responsibilities

• Design, test, and refine features to improve performance.
• Develop research pipelines for strategy simulation and optimization.
• Conduct analyses of market data to guide improvements.

Skills

Python

C++

Quantitative analysis

Machine learning

Statistical analysis

Education

Bachelor's degree in a quantitative field

Job description

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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