Quantitative Developer

Extend and optimise the Python/Rust trading engine behind M1 Capital's market-neutral strategies, across research, execution and on-chain systems.

M1 Capital is a digital asset hedge fund based in Amsterdam. We focus on market-neutral strategies across DeFi and CeFi, combining systematic research, active trading, and risk-managed execution to generate uncorrelated returns across market environments.

The firm manages roughly $180 million across its core funds M1-A1 and M1-B1, plus tokenized fund vehicles.

What you'll do

Extend and optimise the trading engine on our Python/Rust stack

Develop and refine trading algorithms for our market-neutral strategies

Profile and optimise latency-sensitive components

Design order management, risk checks, and execution modules

Integrate DeFi and CEX systems with execution pipelines and monitoring

Conduct quantitative research on strategy design and backtesting

Build backtesting and simulation tools

Maintain databases for data storage and real-time algorithm logging

Perform protocol risk assessments and vet trading venues

Enhance testing, monitoring and observability systems

Participate in code reviews and help establish engineering standards

Support investor relations and fundraising with strategy-level explanations

Preferred skills

2 to 7 years of professional software development, ideally in trading or latency-sensitive systems

Research capability and a nose for identifying opportunities

Strong Python proficiency with the ability to automate systems

Understanding of EVM and/or Solana architecture and DeFi/CeFi

Experience with financial market data and market microstructure

Familiarity with trading infrastructure and backtesting tools

Testing and CI/CD experience with maintainable code practices

Debugging skills for complex asynchronous systems

Ability to simplify code

Based in Amsterdam or open to relocation

What we offer

Direct impact on revenue-generating trading systems

A small, technically strong team with rapid deployment cycles

Competitive compensation with bonus structure

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