Quant jobs / IMC Trading

Quantitative Researcher – Data Curation

A research role centred on sourcing, cleaning and validating market and alternative data for US equities and equity options. It supports the research team and live trading by making sure the data behind models is trustworthy.

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.

Clean and validate US equity and options market data
Bring in and assess fundamental and alternative datasets
Maintain data pipelines used by both research and live trading
Document data provenance and quality for researchers
Run statistical analysis to spot patterns in the cleaned data

What they ask for

Required

3+ years in quant research or data-focused finance roles
Prior options market and options data knowledge
Advanced Python
SQL and handling large datasets
Knowledge of data vendors
Tick-level and real-time data familiarity

Preferred

Working with alternative or non-market data
Statistical and ML techniques

Education: No degree level stated
Experience: 3+ years in quant research or data roles in financial markets
Languages and tools: Python
SQL
Markets: equities, options

How to prepare

Practise cleaning a messy options chain: stale quotes, crossed markets, bad prints
Build a data-quality dashboard with automated checks
Learn the main market data vendors and what each covers
Work through corporate-action adjustments for equity data

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 IMC Trading’s site before applying: requirements, location and pay can change after we check them.

View the posting on IMC Trading’s site ↗

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