ALGOQUANT

Crypto

• Monitor risk exposures across a diversified portfolio of crypto hedge fund and quant strategies.
• Perform quantitative analysis on fund returns, drawdowns, volatility, leverage, liquidity, and factor sensitivities.
• Track both on-chain and off-chain metrics to assess market, credit, liquidity, and operational risks.
• Collaborate with investment and operational due diligence teams to evaluate new and existing crypto managers.
• Review manager risk frameworks, trading practices, and risk controls.
• Assess manager concentration, style drift, and correlation with existing portfolio allocations.
• Contribute to the optimization of multi-manager portfolio construction from a risk-return perspective.
• Run scenario and stress tests based on historical and hypothetical events (e.g., exchange failures, flash crashes, regulatory changes).
• Model tail risk and extreme event exposures.
• Produce regular and ad-hoc risk reports for internal stakeholders, risk committees, and clients.
• Communicate complex risk insights clearly to both technical and non-technical audiences.
• Recommend risk mitigation actions where necessary.
• Work with internal data engineering and quant teams to enhance risk analytics infrastructure.
• Contribute to the development and maintenance of dashboards and tools for real-time risk monitoring.

Crypto Portfolio Risk Analyst

Full-stack Engineer

• Design, build, and maintain real-time and batch data processing pipelines for market, alternative, and on-chain data sources.
• Ensure high availability and low latency across critical ingestion and transformation processes.
• Develop and evolve our internal Data Lake and the surrounding data processing ecosystem.
• Implement modern lakehouse technologies to enable scalable, queryable, and versioned data storage.
• Build validation, monitoring, and alerting systems to guarantee the accuracy, consistency, and completeness of data.
• Establish robust data quality frameworks and observability tooling across the pipeline stack.
• Develop and maintain internal Python and C++ libraries for feature calculation, data processing, backtesting, and ML inference.
• Promote code reuse, performance optimization, and reproducibility across teams.
• Work closely with quant researchers, traders, and the execution team to understand data requirements and support their workflows.
• Translate research and trading needs into reliable, production-grade data infrastructure.

Software Engineer – Data Platform

Software Engineer

• Develop and optimize execution components in C# or C++ for low-latency market interaction
• Build and maintain exchange adapters, smart order routers, and internal crossing logic
• Collaborate with trading and quant teams to productionize strategies and support bespoke execution needs
• Improve real-time monitoring, logging, and system observability across the execution stack
• Implement robust failover and recovery mechanisms for mission-critical systems
• Ensure alignment with internal security, compliance, and risk controls
• Participate in technical architecture reviews and contribute to performance tuning initiatives

Crypto Portfolio Risk Analyst

Software Engineer – Data Platform

Senior Developer – Execution Technology