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KnowHireMatch · 3 weeks ago

Quantitative Researcher - Algorithmic Trading

Chicago, IL

Full-time

Hybrid

Mid, Senior Level

$155K/yr - $190K/yr

2+ years exp

KnowHireMatch is a Chicago-based proprietary trading firm that builds high-performance automated trading systems for global derivatives markets. They are seeking a Senior Quantitative Researcher to work on advanced quantitative research that powers automated trading, collaborating with traders and engineers to design and deploy strategies.

Staffing & Recruiting

Responsibilities

Apply advanced quantitative methods to solve problems in financial modeling, algorithm development, and system optimization

Collaborate with traders and developers to improve a complex, evolving algorithmic trading infrastructure

Design and implement tools for traders, explore new trading ideas, and refine existing strategies

Build, test, and maintain automated trading algorithms and risk management logic from scratch

Analyze and optimize system performance, including latency, stability, and execution quality

Conduct historical research and back-tests using large data sets and database tools

Communicate market developments, model behavior, and research insights to traders and other stakeholders

For modeling-focused work: design automated market-making and risk management algorithms, and build statistically driven position-taking strategies

For execution-focused work: perform post-trade analysis, investigate system behavior, optimize algorithm parameters, study market microstructure, and drive execution system improvements

Qualification

PythonQuantitative researchStatistical analysisMySQLC++Communication skillsCollaborationProblem-solving

Required

2+ years of full-time, professional experience in a quantitative research, trading, or high-performance technology role, ideally at an algorithmic trading firm or similar environment

Degree in mathematics, physics, engineering, computer science, or a closely related quantitative field

Ability to write and maintain clean, organized, object-oriented Python code

Proven experience in at least one of the following: options and volatility modeling, statistical analysis on large data sets, or diagnosing and optimizing algorithm logic in latency-sensitive or high-throughput distributed systems

Expertise working with MySQL or similar databases for historical research and back-testing

Passion for innovation and solving open-ended, data-rich problems

Strong written and verbal communication skills, with the ability to explain complex technical ideas clearly

Collaborative attitude with a competitive drive and comfort with metrics-based performance evaluation

Practical, production-focused mindset with a track record of delivering impactful solutions

Ability to work on-site in the Chicago office on a full-time basis