Quant jobs / Akuna Capital

Quantitative Researcher

An experienced research role at an options market maker, using statistics and machine learning to build predictive models for trading. Placement across teams such as low latency, volatility, delta one and development is decided after interview.

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.

Build strategies using statistical and machine learning methods
Improve predictive models through signal and feature research
Design reproducible, scalable ML research workflows
Work with traders and developers to deploy models

What they ask for

Required

3+ years in statistics, machine learning or related work
Technical degree such as engineering, CS, maths or physics
Proven research background
Python or C++
Statistics and ML expertise

Preferred

Knowledge of trading or financial markets

Education: BS/MS/PhD in a technical field
Experience: 3+ years of professional work in statistics or machine learning
Languages and tools: Python
C++
Markets: options, multi-asset

How to prepare

Run a feature-engineering study with careful out-of-sample validation
Revise statistical learning theory and model regularisation
Build reproducible research pipelines
Study how predictive signals feed market-making quotes

What to study

The Quantitative 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 Akuna Capital’s site before applying: requirements, location and pay can change after we check them.

View the posting on Akuna Capital’s site ↗

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