Quant jobs / JPMorgan

Quantitative Trader – Global Commodities (Associate/VP)

A role in JPMorgan's commodities quantitative trading and research group, which runs algorithmic pricing, hedging and execution for metals and energy. You build the tools that quote and trade flow.

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.

Write pricing algorithm software for base metals, bullion and energy in Python and Java
Design execution and hedging strategies for client flow
Research micro-patterns in commodity order books
Maintain and support live trading applications
Work with sales on electronic client offerings

What they ask for

Required

Solid programming in Java and Python
Interest in market microstructure
Fluency in market and product terminology
Agile software practice
Attention to detail

Preferred

Advanced quantitative degree
Commodities and derivatives pricing experience
Real-time feeds and CLOB order placement on LME, CME or ICE
KDB+/q

Education: Degree preferred in computer science, maths, physics or engineering; advanced degree a plus
Experience: Not specified in years
Languages and tools: Java
Python
KDB+/q
Markets: commodities

How to prepare

Study limit order book dynamics and how commodity futures trade on LME, CME and ICE
Build a toy quoting engine in Python that reacts to simulated order flow
Learn commodity futures curves, roll and spread basics
Practise KDB+/q on tick data

What to study

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

Open the roadmap

Apply

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

View the posting on JPMorgan’s site ↗

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