Àlber Blanc Capital

Senior Risk Manager

Haarlem, NL · Senior

Sponsorship not specifiedDetected 266 days ago

Data Engineering

About the role

The ideal candidate combines a deep understanding of trading dynamics with hands-on technical expertise in automation, systems analysis, and data engineering in real time.
Analyze trading system behavior to identify anomalies, unexpected exposures, or systemic weaknesses.
Understanding of market, liquidity risk, liquidation, depeg risk, credit, and operational risk principles in automated trading environments.

Monitor and manage real-time trading and position risk across multiple asset classes and exchanges.
Develop tools and dashboards to visualize key risk metrics such as exposure, P&L attribution, liquidity usage, and system performance.
Perform post-trade and real time risk analysis using large data sets from execution, market data, and system logs.
Collaborate with compliance and operations teams to align real-time and end-of-day risk controls.
Collaborate with traders, developers, and infrastructure teams to ensure risk checks are tightly integrated into the trading stack.

5+ years of experience in risk management, trading systems, or quantitative technology within a proprietary trading, hedge fund environment or exchange.
Solid experience with time-series data, and real-time monitoring systems.
Bachelor's or Master's degree in Computer Science, Engineering, Physics, Mathematics, or a related technical field.
Strong understanding of derivatives and margin trading.
Demonstrated ability to bridge quantitative, technical, and operational perspectives.

This listing is sourced directly from Àlber Blanc Capital's careers page and normalized into a canonical job model.