Graduate Quantitative Researcher (2027 Start)
Job Description & Overview
If you enjoy using mathematics and code to investigate difficult questions, you could make a direct contribution to Optiver’s success in global markets. As a Graduate Quantitative Researcher, you’ll work across the full research process, from framing the question and choosing the data to building, testing and deploying models. Machine Learning is central to the work, whether you’re extracting signals, forecasting prices or modelling relationships. Our data, compute and production infrastructure let you test ideas quickly, understand where they fail and decide what to investigate next.
Our researchers believe in academic discourse and invite fellow researchers, traders and engineers to challenge each hypothesis. Different perspectives help improve the question, the model and how it performs in production. Through constant testing, analysis and refinement, you’ll help our quantitative models adapt as markets evolve.
WHAT YOU’LL DO
Your onboarding
You’ll participate in Global Optiver Academy, a structured onboarding programme for graduates. It gives new joiners a shared foundation in how Optiver trades, builds systems, and manages risk before they move into their teams. As part of your onboarding, you'll gain exposure to the AI tools and technologies that support research and development across the business.
Your responsibilities
Depending on the team you join, you'll own the research end to end. That could include:
- 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