Jobs at Keyrock

Evaluate Web3 primitives, DeFi protocols, and blockchain infrastructure; support technical due diligence for deals, investments, and partnerships; build prototype systems, analytics tools, and proof-of-concepts; and use Python, SQL, and data analytics to monitor market trends and identify strategic growth opportunities.

Analyze digital asset market and trading data across venues, build latency-aware backtests and execution models, evaluate liquidity and strategy performance, and support live trading through PnL, inventory, exposure, and post-trade analysis. Develop Python tools and SQL data pipelines, investigate market microstructure and price discovery, and communicate research findings, assumptions, risks, and recommendations to traders, quantitative researchers, and engineers.

Conduct quantitative research on decentralized markets and digital asset trading strategies. Analyze blockchain and market data, study AMM mechanics, MEV, gas, liquidity, and execution, and evaluate hypotheses through backtesting and simulation. Build Python research tools and data pipelines, monitor live strategies, investigate performance, and communicate findings, limitations, and risks. Collaborate with quantitative researchers, traders, and engineers in a six-month Brussels-based internship.

Own and develop the firm-wide risk function across trading, treasury, investments, CeFi, and DeFi. Design quantitative frameworks covering market, credit, liquidity, systemic, counterparty, exchange, smart contract, and protocol risks. Implement advanced metrics, stress testing, real-time monitoring, risk aggregation, and reporting infrastructure. Partner with the COO and CIO to build scalable risk systems, translate traditional financial methodologies into crypto-native markets, define risk appetite, and enforce disciplined risk-taking and strong risk culture.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, and collaborate across teams, contributing to the Data Platform's growth.

Design, build, and operate low-latency, mission-critical trading systems in Rust. Own trading stack components end-to-end, collaborate with quants and traders, troubleshoot production issues, improve performance, reliability, observability, and drive engineering standards and automation including AI-assisted workflows.