Quantitative Developer

atomic-digital

Greater London

On-site

GBP 90,000 - 130,000

Full time

41 hours ago
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Job summary

atomic-digital in London designs and builds the core infrastructure for live trading and on-chain strategies. You will design and implement data pipelines, execution engines, and analytics tools in collaboration with portfolio managers and researchers to bring new ideas to production.

You will work with Python, TypeScript, Rust, or C++, building scalable systems, APIs, and data processing pipelines, while integrating exchange APIs and market data to support both systematic and discretionary

Qualifications

  • Proficient in Python, TypeScript, Rust or C++ with multiple languages a plus.
  • Experience designing scalable data pipelines, APIs, or distributed systems.
  • Familiar with trading infrastructure, market data, or on-chain data processing.
  • Strong problem-solving, reliability, security, and performance focus.

Responsibilities

  • Design and implement high-performance data pipelines aggregating on-chain and off-chain data.
  • Build and optimise execution systems, trading bots, and deployment frameworks.
  • Develop internal analytics, risk monitoring, and performance dashboards.
  • Collaborate with portfolio managers and researchers to productionise strategies.
  • Integrate exchange APIs, smart-contract data, and market feeds into scalable infra.
  • Improve system latency, reliability, and profiling through testing and refactoring.
  • Automate portfolio operations like rebalancing and risk alerts.

Skills

Python
TypeScript
Rust
C++
Data pipelines
APIs
Distributed systems
Trading infra

Job description

Design and build the technical infrastructure that powers our trading systems and on-chain strategies. Develop data pipelines, execution engines, and internal analytics tools, collaborating with portfolio managers and researchers to bring new strategies from concept to production.

What You’ll Do

Design and implement high-performance data pipelines to aggregate and process on-chain and off-chain data from multiple sources.

Build and optimise execution systems, trading bots, and strategy deployment frameworks used across our portfolio.

Develop internal analytics, risk monitoring, and performance dashboards to support investment decisions.

Work alongside portfolio managers and quantitative researchers to prototype, backtest, and productionise new trading strategies.

Integrate exchange APIs, smart-contract data, and market feeds into scalable infrastructure that supports systematic and discretionary strategies.

Contribute to the automation of portfolio operations, including rebalancing, monitoring, and risk alerts.

Continuously improve system performance, reliability, and latency through profiling, refactoring, and testing.

What You Bring

Strong programming skills in Python, TypeScript, Rust, or C++ (experience with multiple languages is a plus).

Experience designing and building scalable data pipelines, APIs, or distributed systems.

Familiarity with trading infrastructure, market-making systems, or on-chain data processing.

Understanding of financial markets, digital assets, or quantitative trading concepts (or a strong willingness to learn).

Solid problem-solving and debugging skills, with attention to reliability, security, and performance.

Ability to collaborate effectively with researchers, portfolio managers, and business teams to translate strategic ideas into production-ready code.

Entrepreneurial mindset: proactive, independent, and excited to build high-impact infrastructure in a fast-moving environment.

What You’ll Get

Direct ownership of critical systems powering live trading and on-chain strategies from day one.

Mentorship from professionals with deep experience in hedge funds, quantitative trading, and DeFi infrastructure.

Exposure to advanced trading strategies, research workflows, and institutional engineering standards.

Competitive compensation.

Opportunities for global travel (e.g., Dubai, London, European hubs) for strategy weeks, conferences, and investor meetings.

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