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AAA Global

Junior Quantitative Researcher

AAA Global, New York, New York, us, 10261

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We are seeking a highly analytical and technically gifted

Quantitative Researcher

to join a high-frequency trading team. In this role, you will focus on refining features, designing models, and advancing core research pipelines. You’ll work closely with other researchers and engineers to push the boundaries of what’s possible in competitive electronic markets. The ideal candidate is a curious, rigorous thinker with a strong technical foundation and a bias toward empirical validation. You enjoy working with data, building systems to understand it, and using that understanding to drive performance. Key Responsibilities Design, test, and refine features and model architectures to improve prediction and execution performance Develop and enhance 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 Why This Role Stands Out Research First:

A research-heavy role focused on signal improvement, model fidelity, and hypothesis generation — not infrastructure or DevOps Breadth & Depth:

Exposure to all levels of the alpha stack, from feature design and statistical modeling to optimizer tuning Direct Impact:

Fast deployment and iteration cycles — your research feeds directly into live strategies with measurable results World-Class Environment:

Join a high-talent, low-ego team with backgrounds across elite trading firms, olympiads, and academic research Core Qualifications 1–5 years of experience in quantitative research, applied ML, or statistics Proficiency in Python and/or C++ with the ability to deliver 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 Capability to take research ideas from concept through experimental evaluation with minimal supervision Signals of Excellence Proven track record of P&L generation using model-driven strategies Outstanding academic record in a quantitative field Exceptional performance in competitive programming or quantitative olympiads Seniority level

Seniority level Associate Employment type

Employment type Full-time Job function

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