Counterparty Risk Analyst - Crypto Markets & Trading

Westren Capital

Greater London

Híbrido

GBP 70.000 - 120.000

Jornada completa

14 días+

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Descripción de la vacante

Westren Capital, a London-based trading firm, seeks a Counterparty Risk Analyst to monitor and manage exposure across brokers, exchanges, and counterparties. You'll work with trading, treasury, operations, and research to safeguard liquidity and settlement integrity in both traditional and digital asset ecosystems.

The role focuses on monitoring exposure, collateral efficiency, and operational risk, with collaboration across teams to implement risk signals and automated alerts for stress periods

Formación

  • Strong understanding of market structure, derivatives, margins, and prime brokerage.
  • Familiarity with exchange microstructure and collateral management.
  • Experience with Python, SQL, or data analysis tools.
  • Ability to interpret balance sheets and liquidity indicators.
  • Excellent written and verbal communication.

Responsabilidades

  • Monitor real-time counterparty exposure across venues.
  • Track collateral utilization and liquidity across portfolios.
  • Build internal risk dashboards for concentration and stress tests.
  • Evaluate financial health and operational reliability of counterparties.
  • Collaborate with trading and engineering to integrate risk signals.
  • Produce internal reports with exposure metrics and recommendations.

Conocimientos

Market structure
Derivatives
Exchange microstructure
Python
SQL
Data analysis
Operational risk
Crypto markets
Communication

Descripción del empleo

Westren Capital, a London-based trading firm, seeks a Counterparty Risk Analyst to monitor and manage exposure across brokers, exchanges, and counterparties. You'll work with trading, treasury, operations, and research to safeguard liquidity and settlement integrity in both traditional and digital asset ecosystems.

The role focuses on monitoring exposure, collateral efficiency, and operational risk, with collaboration across teams to implement risk signals and automated alerts for stress periods

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