Quant jobs / Akuna Capital

Quantitative Researcher – Prediction Markets

A research role on a new prediction markets desk at an options market maker, pricing sports-related contracts. It works closely with developers and traders.

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 data capture pipelines for sports pricing
Calibrate models for in-play contract pricing
Maintain internal research tooling
Work with trading and development to deploy models into production

What they ask for

Required

Technical degree in engineering, CS, maths or physics
Proficient Python
1+ years in a quantitative or programming role
Linear algebra, numerical methods, statistics, optimisation and ML
Strong interest in sports

Preferred

C++
Experience in the trading sector

Education: Bachelor's, master's or PhD in a technical field
Experience: 1+ years in a quantitative or programming role, preferably in trading
Languages and tools: Python
C++
Markets: prediction-markets

How to prepare

Build an in-play probability model for a sport using public data
Learn calibration and proper scoring rules
Study how event contracts are quoted and traded
Build a data capture pipeline for live feeds

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.