Lead Quantitative Researcher — Options Market Making

Maven; Chicago (IL); On-site; USD 180,000 - 320,000; Full time

Benefits offered by this job

Competitive compensation

Annual discretionary bonus

Fully catered breakfast and lunch

25 days' annual leave

Informal dress code

Private healthcare and life assurance

Group Pension plan

Job summary

Maven Securities is seeking a Senior Quantitative Researcher for its Options Market Making team in Chicago. You will lead projects affecting trading performance, collaborating with researchers and traders to develop real-time models for low-latency options trading and to tackle pricing, volatility, and alpha research challenges.

You will contribute to option pricing, volatility models, and algorithm design while ensuring your work translates into commercial impact and robust production systems.

Qualifications

• Academic degree in applied mathematics, computer science, statistics, engineering or physics.
• 3+ years of experience in the financial industry, especially electronic options trading.
• Ability to research algorithms, develop predictive models, and verify hypotheses using large datasets.
• Collaborative bridge between developers and traders to align technical work with business impact.

Responsibilities

• Lead projects that impact trading performance.
• Develop real-time trading models and low-latency solutions for exchange-traded options.
• Share knowledge with other researchers to tackle challenging projects like option pricing and volatility models.
• Collaborate with traders and quants to deliver production-ready results.

Skills

Quantitative research

Electronic options trading

Algorithm development

Team collaboration

Education

PhD or equivalent research track

Job description

Maven Securities is seeking a Senior Quantitative Researcher for its Options Market Making team in Chicago. You will lead projects affecting trading performance, collaborating with researchers and traders to develop real-time models for low-latency options trading and to tackle pricing, volatility, and alpha research challenges.

You will contribute to option pricing, volatility models, and algorithm design while ensuring your work translates into commercial impact and robust production systems.