Graduate Quantitative Researcher

About the role

As a Graduate Quantitative Researcher, you will work across the full research process, from framing questions and choosing data to building, testing, and deploying models. You will use machine learning and mathematical methods to extract signals, forecast prices, and model relationships in global financial markets. You will collaborate with traders and engineers to refine models and adapt to evolving market conditions.

Responsibilities

• Building models for pricing, forecasting and signal discovery, choosing the statistical, mathematical or Machine Learning methods that best fit the problem.
• Working across petabytes of market, order-flow and unstructured data to find signals that improve strategies as conditions change.
• Monitoring models in production and using live behavior to refine your assumptions and decide what to investigate next.
• Using deep learning and AI-enabled workflows to shorten the loop from hypothesis to evidence.
• Working directly with researchers, traders and engineers to shape problems and understand how system constraints affect performance.

Required skills

• Quantitative Research
• Machine Learning
• Probability
• Calculus
• Linear algebra
• Python

Nice to have

• C
• C++
• Java

Qualifications

• Academic degree in Engineering, Physics, Maths, Econometrics, Computer science or equivalent

Benefits

• Performance-based bonus
• 25 paid vacation days
• Training opportunities
• Health benefits
• Commuting expenses
• Office meals
• Relocation package
• Visa sponsorship

About the Company

Optiver is a global trading firm that believes in academic discourse and collaborative problem solving. They operate in global financial markets and are committed to diversity and inclusion.