Quant jobs / DRW

Software Engineer, Research – Cumberland Systematic

An engineer on a multi-asset, fully systematic delta-one trading team that trades around the clock. You build the data and research infrastructure used daily by quant researchers.

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 integrations with data vendors, exchanges and blockchains
Speed up the path from data engineering to feature generation
Maintain research libraries for large time-series data
Test and support production systems, including on-call

What they ask for

Required

Professional Python experience
Building maintainable, safely refactorable Python systems
Managing large, evolving time-series data
Type safety and type systems
Strong communication
Independent project delivery

Preferred

Open-source crypto contributions
Running full or archive blockchain nodes
Collaboration with quant researchers
ML concepts and lifecycle
Functional programming

Education: Not stated
Experience: Professional Python experience; time-series data work
Languages and tools: Python
C++
Markets: multi-asset, crypto

How to prepare

Build a typed Python library to ingest and store crypto exchange data
Learn how blockchain data and nodes work
Practise testing patterns for data pipelines
Study time-series storage formats and versioning

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

View the posting on DRW’s site ↗

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