Madrid | Working from home up to 60% | Referencia 6579 As Quantitative Risk Analyst of BME Clearing, you will be a key member of our BME Clearing Quantitative Risk team.
Your primary responsibility is to develop, calibrate, implement and review quantitative risk methodologies of the Central Counterparty (CCP), enhancing the existing quantitative risk methodologies framework in compliance with the EMIR Regulation, and according to the SIX Group risk policies, procedures and best practices in terms of risk management.
What You Bring Minimum of 3 years' experience in the financial markets industry, Quantitative Risk or Trading area, preferably in banks.
Broad knowledge of financial products from bonds to cryptos.
Strong understanding of derivatives products.
Desirable expertise on IRS (Interest Rate Swap) products.
Strong quantitative background, desirable an MSc or PhD degree in a quantitative subject, preferably a degree in financial mathematics.
Solid experience with databases and programming skills (Python, Matlab, and VBS).
Strong analytical, critical thinking, excellent attention to detail and problem-solving skills.
Good communication skills in English and Spanish to clearly convey ideas in front of various audiences, and concise writing skills.
What You Will Do Developing, calibrating, implementing and reviewing quantitative risk models, stress- and back-tests, scenario analysis to ensure BME Clearing resilience to adverse market conditions.
Write well-formulated documents of model/methodology specifications, behavior, and testing results.
Close collaboration with Quality Risk Management, Swiss Quantitative risk, BME Clearing's Operations (1st line of defense) as well as other SIX Clearing teams, amongst others.
Advise management on the identification and measurement of the different risks faced by the CCP, as well as on the introduction of good practices in line with other CCPs and markets.
Diversity is important to us.
Therefore, we are looking to receiving applications regardless of any personal background.
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