Quantitative Research Intern - ML & Market Modeling

Optiver

Illinois

On-site

USD 80,000 - 100,000

Full time

14 days+
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Benefits offered by this job

Flights covered
Accommodations provided
Commuting stipend
Office perks

Job summary

Optiver seeks a PhD candidate to join its Education team as an internship in a fast-paced research environment. You will work alongside experienced researchers to build predictive models, analyze market data, and test pricing and forecasting models, applying deep learning techniques to real-world trading problems.

Ideal candidates are pursuing a PhD in statistics, CS, ML, or mathematics, with graduation window of Dec 2027–Jun 2029 and openness to full-time roles after graduation.

Qualifications

  • PhD student with outstanding academic performance.
  • Expected graduation between December 2027 and June 2029; available to intern Summer 2027.
  • Open to full-time opportunities after graduation in 2028 or 2029.

Responsibilities

  • Develop predictive models and machine learning systems to better understand market behavior and identify trading opportunities.
  • Analyze large-scale market and order-flow data to uncover signals and improve trading performance.
  • Build and test statistical and stochastic models for pricing, forecasting, and risk management.
  • Apply modern research techniques, including deep learning and AI-enabled workflows, to accelerate discovery and improve research efficiency.

Skills

Python programming
Statistics & ML
English fluency
Team collaboration

Education

PhD candidate in Statistics/CS/ML/Math

Job description

Optiver seeks a PhD candidate to join its Education team as an internship in a fast-paced research environment. You will work alongside experienced researchers to build predictive models, analyze market data, and test pricing and forecasting models, applying deep learning techniques to real-world trading problems.

Ideal candidates are pursuing a PhD in statistics, CS, ML, or mathematics, with graduation window of Dec 2027–Jun 2029 and openness to full-time roles after graduation.

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