Quantitative Research Intern: AI-Driven Market Modeling

Optiver; Austin (TX); On-site; USD 34,440 - 55,104; Full time

Benefits offered by this job

Competitive internship compensation

Optiver-covered flights and accommodations

Office perks including meals and social events

Job summary

Optiver is seeking a Quantitative Research Intern in Austin who will work alongside researchers and engineers to tackle challenging quantitative problems. Candidates should be enrolled in a relevant PhD program and possess strong analytical and programming skills.

Interns will develop predictive models, analyze large datasets, and apply machine learning techniques to enhance trading strategies. The role offers competitive compensation, with potential pathways to full-time opportunities.

Qualifications

• Currently pursuing a PhD in a relevant STEM field.
• Expected graduation between December 2027 and June 2029.
• Strong foundation in mathematics, probability, and statistics.

Responsibilities

• Analyze large-scale datasets and develop predictive models.
• Collaborate with engineers and traders to improve trading strategies.
• Work with AI tools to support research and development efforts.

Skills

Research and analytical skills

Machine learning methods

Programming proficiency

Mathematics and statistics

Time-series analysis

Education

Currently enrolled in a PhD program

Expected graduation between December 2027 – June 2029

Job description

Optiver is seeking a Quantitative Research Intern in Austin who will work alongside researchers and engineers to tackle challenging quantitative problems. Candidates should be enrolled in a relevant PhD program and possess strong analytical and programming skills.

Interns will develop predictive models, analyze large datasets, and apply machine learning techniques to enhance trading strategies. The role offers competitive compensation, with potential pathways to full-time opportunities.