Quant jobs / Millennium

Quantitative Researcher

A research role on the Volatility Alpha Development team building options datasets, backtesting platforms and prototype volatility strategies for global PMs. It sits in the core quant group supporting Millennium's volatility business.

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.

Fit volatility surfaces and analyse event volatility
Build systematic options PnL datasets
Prototype strategies such as single-stock versus index spreads and bespoke ETFs
Develop predictive models with statistical learning
Support integration of datasets into PM workflows

What they ask for

Required

Master's or PhD in a STEM discipline
3+ years in investment management or quant research
Python, R, MATLAB or C++
Deep options and derivatives knowledge
Machine learning and statistical modelling
Data visualisation

Education: Master's or PhD in physics, maths, statistics, engineering, OR or a related STEM discipline
Experience: 3+ years in investment management or a quantitative research environment
Languages and tools: Python
R
MATLAB
C++
Markets: options

How to prepare

Fit and test a volatility surface model on listed options data
Build a backtest of an options spread strategy with costs
Study event volatility around earnings and macro releases
Learn statistical learning methods for forecasting implied volatility

What to study

The Volatility Quant roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

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

View the posting on Millennium’s site ↗

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