Quantitative Developer

M1 Capital; Amsterdam; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Modern office in central Amsterdam

Yearly company trips

Competitive compensation with bonus

Job summary

M1 Capital, a digital asset hedge fund based in Amsterdam, is seeking a Quantitative Developer to extend and scale its trading engine. You will work across research, execution, and on-chain systems to drive alpha generation and fund growth.

Join a small, technically strong team in Amsterdam where your Python and Rust expertise will improve latency, throughput, and the robustness of multi-strategy market-neutral trading strategies.

Qualifications

• 2–7 years of professional software development experience.
• Strong Python skills with the ability to build and automate systems.
• Solid understanding of performance optimisation.
• Understanding of EVM and/or Solana architecture, DeFi/CeFi, multisig wallets, and transaction workflows.
• Comfort working with financial market data and market microstructure.
• Familiarity with trading infrastructure: execution engines, monitoring, alerting, backtesting, and logging.
• Experience with testing, CI/CD, and writing maintainable, well-documented code.

Responsibilities

• Extend and harden the trading engine across Python/Rust stack.
• Develop and optimise trading algorithms and systematic strategies.
• Profile and optimise latency- and throughput-sensitive components from order routing to market data processing.
• Design and implement modules for order management, risk checks, position tracking, and execution logic.
• Integrate DeFi and CEX systems: design execution pipelines and multisig flows.
• Build and maintain backtesting and simulation tooling for engine validation.
• Build and maintain databases for data storage and real-time algorithm logging.
• Improve testing, monitoring, and observability to catch issues in production.

Skills

Python

Rust

Trading systems

Latency optimization

Research

CI/CD

Debugging

Tools

Python tooling

Rust tooling

CI/CD tooling

Job description

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. Our offering includes core funds such as M1-A1 and M1-B1, as well as tailored solutions including our tokenized fund vehicles. In total we manage approx. $180 million.

We're looking for a Quantitative Developer to join our trading team and help drive the next phase of our in-house trading engine. The core architecture is already in place; your job is to build on that foundation, optimise performance, and extend its capabilities as we expand our set of strategies both horizontally and vertically. You'll work across research, execution, and on-chain systems, directly contributing to alpha generation and fund scalability.

What you'll do

Extend and harden the existing trading engine across the Python/Rust stack (research and strategy logic in Python, performance-critical paths in Rust).

Develop and optimise trading algorithms and systematic strategies for our multi-strategy market-neutral fund.

Profile and optimise latency- and throughput-sensitive components, from order routing to market data processing.

Design and implement new modules for order management, risk checks, position tracking, and execution logic.

Integrate DeFi and CEX systems: design execution pipelines, multisig transaction flows, and monitoring tools.

Conduct quantitative research across strategy design, backtesting, implementation, and risk management.

Build and maintain backtesting and simulation tooling to validate engine behaviour against historical and live data.

Build and maintain databases for efficient data storage and real-time algorithm logging.

Perform protocol risk assessments, vet trading venues, and ensure secure interaction with DeFi protocols.

Improve testing, monitoring, and observability so issues are caught before they hit production.

Participate in code reviews and help shape engineering standards as the codebase and team grow.

Engage with investors, assisting in fundraising and providing strategy-level explanations when needed.

Preferred skills

2–7 years of professional software development experience, ideally with exposure to trading, exchange connectivity, or other latency-sensitive systems.

Ability to do research and find new opportunities.

Strong Python skills with the ability to build and automate systems.

Solid understanding of performance optimisation.

Understanding of EVM and/or Solana architecture, DeFi/CeFi, multisig wallets, and transaction workflows.

Comfort working with financial market data (order books, ticks, trades) and an interest in market microstructure.

Familiarity with trading infrastructure: execution engines, monitoring, alerting, backtesting, and logging.

Experience with testing, CI/CD, and writing maintainable, well-documented code.

Good instincts for debugging complex, asynchronous systems.

The ability to simplify existing codebases.

Based in Amsterdam or open to relocation.

What we offer

Direct impact on a live, revenue-generating trading system;

A small, technically strong team where your work ships fast and matters;

Competitive compensation with bonus structure;

Modern office in central Amsterdam;

Yearly company trips;

A collaborative environment where your ideas directly impact fund performance.