Description
Responsibilities
Requirements
Bonus
- Experience with Hyperliquid API (WebSocket feeds, vault risk monitoring, liquidation engine).
- Background in prop trading, market making, or hedge fund risk management (2-sigma+ shops preferred).
- Knowledge of blockchain-specific risks: oracle failures, MEV, liquidation cascades, network congestion.
- Proficiency with TypeScript, Node.js, NestJS for building production risk services.
- Experience with event-driven architectures, message queues (Redis Streams, Kafka), CQRS patterns.
- Time-series databases (TimescaleDB, InfluxDB) for storing tick-level risk snapshots.
- Machine learning for anomaly detection: isolation forests, autoencoders, change point detection.
- Understanding of regulatory frameworks (CFTC, SEC, MiFID II) and compliance monitoring.
- Experience with Monte Carlo simulations, copula models, or extreme value theory.
- Published research or contributions to quantitative finance / risk management literature.
- DevOps: Docker, AWS (ECS, Aurora), Terraform, monitoring tools (Grafana, Datadog).
How to apply
We ask candidates to submit their application via a POST request to our API. This helps us identify candidates who read job descriptions carefully and have basic technical skills.
{
"roleSlug": "quant-risk",
"name": "Your Name",
"email": "[email protected]",
"link": "https://linkedin.com/in/yourprofile",
"coverNote": "Why Propr?",
"exceptionalNote": "What makes you exceptional?",
"telegramHandle": "@yourhandle",
"appUid": "optional-trading-terminal-uid"
}