iLocatum
Quantitative Researcher – Algorithmic Trading
iLocatum, Chicago, Illinois, United States, 60290
Quantitative Researcher – Algorithmic Trading
Posted 4 days ago • 25 early applicants.
Work 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 deploy strategies end‑to‑end.
Choose a focus aligned with your strengths: alpha modeling or execution/microstructure optimization.
Senior‑level path for candidates with 3+ years of relevant experience and a strong track record.
Competitive base salary, performance bonuses, relocation support, and strong benefits in a top‑tier trading hub.
Pay:
$155,000.00 – $190,000.00 per year
Location:
On‑site in Chicago, IL with hybrid flexibility after an initial ramp‑up. Relocation support available.
Requirements:
At least 2 years of full‑time quantitative research, trading, or high‑performance technology experience.
Strong Python skills; C++ a plus.
Must work on‑site in Chicago – fully remote not an option.
About Our Client: Chicago‑based proprietary trading firm building high‑performance automated trading systems for global derivatives markets. Founded in 2011, they compete daily in complex, fast‑moving markets and prioritize curiosity, innovation, and collaboration.
Job Description:
Apply advanced quantitative methods to 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 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 stakeholders.
For modeling work: design automated market‑making, risk‑management algorithms, and build statistically driven position‑taking strategies.
For execution work: perform post‑trade analysis, investigate system behavior, optimize algorithm parameters, study market microstructure, and drive execution improvements.
Qualifications:
2+ years of full‑time, professional experience in quantitative research, trading, or high‑performance technology.
Degree in mathematics, physics, engineering, computer science, or a related field.
Clean, organized, object‑oriented Python coding skills; C++ experience a plus.
Experience in options/volatility modeling, large‑scale statistical analysis, or latency‑sensitive/distrubuted system optimization.
Expertise with MySQL or similar databases for research and back‑testing.
Passion for innovation and solving open‑ended, data‑rich problems.
Strong written and verbal communication; ability to explain complex concepts clearly.
Collaborative, metrics‑driven, and proactive work ethic.
Production‑focused mindset with a track record of delivering impactable solutions.
Ability to work on‑site in Chicago full‑time.
Why You’ll Love Working Here:
Competitive salary (155,000 – 190,000) and discretionary performance bonus.
Top‑tier medical, dental, vision, and additional benefits.
Relocation assistance if moving to Chicago.
Generous vacation, ongoing training, and continuing education.
Catered lunch, snacks, and daily beverages.
Regular outings, company events, and a casual dress environment.
High‑impact, low‑politics culture rewarding curiosity, continuous improvement, and measurable results.
Benefits:
Dental insurance
Paid time off
Retirement plan
Vision insurance
Job Type: Full‑time
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Work 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 deploy strategies end‑to‑end.
Choose a focus aligned with your strengths: alpha modeling or execution/microstructure optimization.
Senior‑level path for candidates with 3+ years of relevant experience and a strong track record.
Competitive base salary, performance bonuses, relocation support, and strong benefits in a top‑tier trading hub.
Pay:
$155,000.00 – $190,000.00 per year
Location:
On‑site in Chicago, IL with hybrid flexibility after an initial ramp‑up. Relocation support available.
Requirements:
At least 2 years of full‑time quantitative research, trading, or high‑performance technology experience.
Strong Python skills; C++ a plus.
Must work on‑site in Chicago – fully remote not an option.
About Our Client: Chicago‑based proprietary trading firm building high‑performance automated trading systems for global derivatives markets. Founded in 2011, they compete daily in complex, fast‑moving markets and prioritize curiosity, innovation, and collaboration.
Job Description:
Apply advanced quantitative methods to 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 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 stakeholders.
For modeling work: design automated market‑making, risk‑management algorithms, and build statistically driven position‑taking strategies.
For execution work: perform post‑trade analysis, investigate system behavior, optimize algorithm parameters, study market microstructure, and drive execution improvements.
Qualifications:
2+ years of full‑time, professional experience in quantitative research, trading, or high‑performance technology.
Degree in mathematics, physics, engineering, computer science, or a related field.
Clean, organized, object‑oriented Python coding skills; C++ experience a plus.
Experience in options/volatility modeling, large‑scale statistical analysis, or latency‑sensitive/distrubuted system optimization.
Expertise with MySQL or similar databases for research and back‑testing.
Passion for innovation and solving open‑ended, data‑rich problems.
Strong written and verbal communication; ability to explain complex concepts clearly.
Collaborative, metrics‑driven, and proactive work ethic.
Production‑focused mindset with a track record of delivering impactable solutions.
Ability to work on‑site in Chicago full‑time.
Why You’ll Love Working Here:
Competitive salary (155,000 – 190,000) and discretionary performance bonus.
Top‑tier medical, dental, vision, and additional benefits.
Relocation assistance if moving to Chicago.
Generous vacation, ongoing training, and continuing education.
Catered lunch, snacks, and daily beverages.
Regular outings, company events, and a casual dress environment.
High‑impact, low‑politics culture rewarding curiosity, continuous improvement, and measurable results.
Benefits:
Dental insurance
Paid time off
Retirement plan
Vision insurance
Job Type: Full‑time
#J-18808-Ljbffr