Quantitative Risk Analyst — Flexible Remote & Growth

SIX Group Services Ltd.; Madrid; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible Work Models

Personal Development

Agile Working Methods

Descripción de la vacante

SIX Group Services Ltd. in Madrid is seeking an experienced Quantitative Risk Analyst within SIX Clearing to develop, calibrate, implement and review quantitative risk methodologies, aligning with regulatory requirements and SIX Group risk policies across markets.

You will collaborate with Clearing teams, write detailed model specifications and backtest results, and advise management on risk identification, measurement and adoption of industry best practices across markets.

Formación

• Minimum of 3 years experience in the financial markets industry, quantitative risk or trading.
• Strong quantitative background with advanced degree in a quantitative subject.
• Broad knowledge of financial products from bonds to crypto and derivatives.
• Experience with Databases and Python; other scripting languages are a plus.
• Strong analytical, communication skills in English and Spanish.

Responsabilidades

• Develop, calibrate, implement and review quantitative risk models and stress tests.
• Write documentation of model specifications, behavior, and testing results.
• Collaborate with clearing and risk management teams.
• Advise management on risk identification and measurement with best practices.

Conocimientos

Quantitative risk

Financial markets knowledge

Analytical thinking

English & Spanish communication

Educación

MSc/PhD in quantitative field (e.g., Financial Mathematics)

Herramientas

Python

SQL / Databases

Descripción del empleo

SIX Group Services Ltd. in Madrid is seeking an experienced Quantitative Risk Analyst within SIX Clearing to develop, calibrate, implement and review quantitative risk methodologies, aligning with regulatory requirements and SIX Group risk policies across markets.

You will collaborate with Clearing teams, write detailed model specifications and backtest results, and advise management on risk identification, measurement and adoption of industry best practices across markets.