Quant - Risk | Propr.xyz
Remote - Europe TimezoneRemoteFull-time
AI Summary
This role designs and implements real-time risk models and monitoring systems for crypto derivatives, ensuring accurate risk metrics, margin calculations, and operational safeguards across high-volume trading data.
About this role
Propr.xyz is building a new Operating System for prop firms, helping them leverage blockchain technology to make them more efficient. We enable prop firms to leverage perpetual futures on Hyperliquid, prediction markets, and spot assets. We are actively deploying our technologies to the largest prop firms in the world. The pace is intense, but the journey is exciting. We only hire A-players. You need to be exceptional.
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.
POST
Request body:
{
"roleSlug": "quant-risk",
"name": "Your Name",
"email": "your@email.com",
"link": "https://linkedin.com/in/yourprofile",
"coverNote": "Why Propr?",
"exceptionalNote": "What makes you exceptional?",
"telegramHandle": "@yourhandle",
"appUid": "optional-trading-terminal-uid"
}
Skills
Alerting SystemsAutocorrelationAutoencodersAWSBetasChange Point DetectionCopulasCQRSCross-marginingCVaRDataDogData PipelinesDockerEWMAExpected ShortfallExtreme Value TheoryGARCHGrafanaGreeks (delta, Gamma, Vega)InfluxDBIsolation ForestsKafkaLiquidation MechanicsMachine Learning For Anomaly DetectionMonte Carlo SimulationsNumPyPandasPythonRedis StreamsRegime DetectionRisk DashboardsSciPySQLStress TestingTerraformTimescaleDBTime-series AnalysisVaR
