Quant jobs / Optiver

AI Lab – Research

A research role in a machine learning team inside a market maker's quantitative strategy group. The team runs its own ML-driven strategies from research through to live trading.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Train new ML models, including large foundation models, for production trading
Design experiments with baselines, ablations and out-of-sample tests
Turn research papers into working implementations
Apply ML to large financial time-series and unstructured datasets
Train at scale on GPUs and build automated research tooling

What they ask for

Required

Strong grounding in machine learning, statistics and optimisation
Independent ML research from hypothesis to evaluation
Modern deep learning: transformers, sequence and state-space models
Building and training models, not only applying them
Python with PyTorch or JAX
GPU training experience

Preferred

Foundation model or LLM training
Reinforcement learning
Distributed training
CUDA or Triton kernels
Financial or high-frequency data

Education: Not stated.
Experience: Demonstrated independent ML research experience
Languages and tools: Python
PyTorch
JAX
CUDA
Triton

How to prepare

Train a small sequence model on financial time series and evaluate it out of sample
Reimplement a recent architecture paper from scratch in PyTorch or JAX
Practise careful experiment design with ablations and baselines
Learn GPU training workflows, including distributed training basics

What to study

The NLP and ML Quant Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Optiver’s site before applying: requirements, location and pay can change after we check them.

View the posting on Optiver’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Optiver and doesn’t handle applications.