Quant Risk Engineer (Web3)

TL;DR

Quant Risk Engineer (Web3): Designing and enhancing a real-time risk engine for prop firms leveraging blockchain technology with an accent on risk metrics, portfolio VaR, and latency optimization. Focus on building position limit frameworks, developing statistical models for tail-risk, and ensuring high-performance risk calculations.

Location: Remote (Europe Timezone)

Company

hirify.global is building a new Operating System for prop firms, integrating blockchain technology and perpetual futures to increase operational efficiency.

What you will do

• Support and enhance a real-time risk engine processing 10k+ position updates per second.
• Design and implement advanced risk metrics including portfolio VaR, stress VaR, expected shortfall, and Greeks aggregation.
• Build position limit frameworks covering notional caps, delta limits, and drawdown thresholds.
• Develop statistical models for tail-risk scenarios, fat-tailed distributions, and regime switching.
• Implement margin calculation engines, including cross-margining logic and liquidation price models.
• Create real-time dashboards and alerting systems for exposure heatmaps and anomaly detection.

Requirements

• 3+ years of experience in quantitative risk, trading systems, or financial engineering.
• Strong foundation in statistics, probability theory, and risk modeling (VaR, CVaR, ES).
• Proficiency in Python with NumPy, Pandas, and SciPy for quantitative analysis.
• Experience with real-time risk systems requiring <50ms P99 latency.
• Deep understanding of derivatives pricing, crypto perpetuals, and liquidation mechanics.
• Must be based in the Europe Timezone.

Nice to have

• Experience with Hyperliquid API and blockchain-specific risks (oracle failures, MEV).
• Background in prop trading, market making, or hedge fund risk management.
• Proficiency with TypeScript, Node.js, and NestJS for production services.
• Experience with event-driven architectures (Redis Streams, Kafka) and time-series databases (TimescaleDB, InfluxDB).
• Knowledge of Machine Learning for anomaly detection.

Culture & Benefits

• Fast-paced, intense environment exclusively for A-players.
• Opportunity to deploy technology to some of the largest prop firms globally.
• Exciting challenge of building a new industry-standard operating system.

Hiring process

• Application submission via a specific API POST request to validate technical skills and attention to detail.