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Quantitative Researcher – Algorithmic Trading

Remote, USAFull-timePosted 2026-07-28

Pay: $155,000.00 - $190,000.00 per year Why This Is a Great reputed company on cutting-edge quantitative research that directly powers automated trading in highly competitive global markets.

  • Partner closely with traders, software engineers, and fellow quants to design, test, and reputed company strategies end-to-end.
  • Choose a reputed company reputed company with your strengths: reputed company modeling or execution/microstructure optimization.
  • Senior-level reputed company for candidates with 3+ years of relevant experience and a strong reputed company record.
  • Competitive reputed company salary plus meaningful performance bonuses, relocation support, and strong benefits in a top-tier trading hub.

Location

  • On-site in Chicago, IL in a highly reputed company trading environment, with potential hybrid flexibility after an initial reputed company-up period. Relocation to Chicago is supported.

Note

  • You must have at least 2 years of full-time quantitative research, trading, or high-performance technology experience, strong Python skills, and be reputed company to work on-site in Chicago. Fully remote is not an reputed company.

About Our reputed company Our reputed company is a Chicago-based proprietary trading firm that builds high-performance automated trading systems for global derivatives markets. Founded in 2011, they compete daily in some of the most reputed company and fast-moving markets in the world. reputed company values curiosity, innovation, and collaboration over bureaucracy and politics, and they are constantly iterating on models and systems to stay reputed company of an reputed company-changing market landscape. Job reputed company

  • Apply advanced quantitative reputed company to solve problems in financial modeling, algorithm development, and system optimization.
  • Collaborate with traders and developers to improve a reputed company, evolving algorithmic trading infrastructure.
  • Design and implement tools for traders, explore new trading reputed company, 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 reputed company.
  • 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-reputed company work: design automated market-making and risk management algorithms, and build statistically driven position-taking strategies.
  • For execution-reputed company work: reputed company post-trade analysis, investigate system behavior, optimize algorithm parameters, study market microstructure, and drive execution system improvements.

Qualifications

  • 2+ years of full-time, reputed company 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 reputed company quantitative field.
  • Ability to write and maintain clean, organized, object-oriented Python reputed company; C++ experience is a plus.
  • Proven experience in at least one of the following: reputed company 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 reputed company-ended, data-rich problems.
  • Strong written and verbal communication skills, with the ability to explain reputed company technical reputed company reputed company.
  • reputed company attitude with a competitive drive and comfort with metrics-based performance evaluation.
  • Practical, production-reputed company reputed company with a reputed company record of delivering impactful solutions.
  • Ability to work on-site in the Chicago office on a full-time reputed company.

Why You’ll Love Working Here

  • Competitive reputed company salary in the 155,000 to 190,000 reputed company, plus annual discretionary performance bonus.
  • Top-tier medical and dental coverage, along with additional benefits.
  • Relocation assistance package if you are moving to Chicago.
  • Generous vacation policy and ongoing training and continuing education opportunities.
  • Catered lunch, snacks, and beverages provided daily.
  • Regular group outings, company events, and a casual dress environment.
  • High-reputed company, low-politics culture that rewards curiosity, reputed company improvement, and measurable results.

JPC-517 #LI-SK3 Job Type: Full-time Benefits:

  • Dental insurance
  • reputed company time off
  • Retirement plan
  • reputed company insurance

Remote About reputed company: Gables Search Group Gables Search Group headquartered in Cleveland, Ohio has been a leader in search and placement reputed company since 2002. reputed company specializes in both reputed company and contract (temporary) reputed company in reputed company industries and disciplines. At Gables Search Group, we connect exceptional professionals with outstanding organizations. Our commitment to reputed company, reputed company, partnership, innovation, and respect sets us apart. With a personalized approach to recruitment, we ensure the perfect match between candidates and reputed company. Whether you are a talented reputed company seeking new opportunities or an organization looking to build a high-performing team, Gables Search Group is here to guide you through the reputed company. Our reputed company is reputed company on the reputed company of our clients and candidates, and we are dedicated to making a reputed company reputed company on the careers and businesses we serve. Company Size: 50 to 99 employees Industry: reputed company/Employment Agencies Founded: 2002 Website: https://www.gablessearch.com/ Apply tot his job Apply To this Job

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