Quant jobs / Millennium

Quantitative Researcher – EQ Vol

A quant role in the Quant Analytics team developing pricing, pre-trade and risk tools for equity derivatives in Millennium's in-house library. It works with global quants, portfolio managers and risk.

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.

Develop pricing and pre-trade analysis tools for equity derivatives
Build risk analytics in the in-house pricing library
Gather requirements from PMs and risk managers on valuation methods
Deploy models to production with IT
Work on light exotics and structured products models

What they ask for

Required

3+ years as an equity derivatives quant or strat
Object-oriented programming, preferably C++
Python
Strong maths and analytics
Detail orientation
Communication with traders and risk

Preferred

MSc or PhD in a quantitative subject
Equity light exotics or structured products modelling

Education: Bachelor's in computer science or a related field; MSc or PhD in a quantitative subject preferred
Experience: 3+ years as an equity derivatives quant or strat
Languages and tools: C++
Python
Markets: equities, options

How to prepare

Implement a local volatility or Heston pricer in C++ or Python
Study pricing of light exotics such as barrier options
Learn Greeks and risk analytics for option books
Review how pricing libraries are structured and tested

What to study

The Derivatives Pricing 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.