Quant jobs / Millennium

Software Engineer – Digital Assets Trading

A data and platform engineering role in the digital assets technology group of a multi-manager hedge fund. It builds the data pipelines and trading-support platforms that feed crypto strategies.

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.

Evaluate crypto data vendors and wire their feeds into the firm's platforms
Turn messy on-chain and unstructured data into clean, resilient datasets
Extend order management, reconciliation and risk tooling for digital assets
Add monitoring and quality checks so 24/7 data feeds stay reliable
Answer ad hoc data questions for the business

What they ask for

Required

Python for reusable data code
Data pipelines (Snowflake, Airflow)
AWS deployment
Large structured and unstructured datasets
Financial instruments knowledge
Crypto and blockchain data familiarity
Applied AI/ML in the software lifecycle

Preferred

Equities, fixed income or commodities exposure

Education: Bachelor's in computer science or a related field
Experience: 3+ years of Python, 2+ years running AWS data environments
Languages and tools: Python
SQL
Snowflake
Airflow
AWS
Markets: crypto

How to prepare

Build an Airflow pipeline that ingests exchange and on-chain data into a warehouse with quality checks
Learn how crypto spot, perpetual and custody data differ and where they come from
Practise reconciling positions and trades between two sources
Add monitoring and alerting to a small always-on data job

What to study

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.