at Euronext
OtherPosted 6 days ago
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**Euronext's Senior Associate, Model Validation Opportunity in Rome** Seek a challenging role as **Senior Associate, Model Validation** in Euronext's Model Risk LOD2 team in Rome? Lend your experience in financial markets, quantitative techniques, and Python programming to independently validate risk models, develop challenger analyses, and interact with stakeholders. You'll need a Master's degree in a quantitative field, 3-5 years in banking or finance, and proficiency in SQL. Familiarity with EMIR and ESMA standards is a plus. Fluent English required. Starting from €45,000 (CCNL credito).
- Compensation
- €45,000+ EUR
- City
- Not specified
- Country
- Italy
Currency: € (EUR)
Full Job Description
Join us as a Model Validation Senior Associate!
Are you ready to shape the future of capital markets? We are looking for a Model Validation Senior Associate to join the Model Risk LOD2 Team in Rome. This is a position offering an exciting opportunity to contribute to our mission.
RAL starting from 45.000
CCNL credito
Key accountabilities:
Independently validate the risk models designed by LoD1 used to measure market, credit risk and liquidity risk
Develop and maintain independent Python replications of margin and stress testing models, used to benchmark results and to run challenger analyses
Timely analyse significant changes to a model through a standardized approach and issue recommendations/suggest alternatives
Design and perform sensitivity analyses, backtesting, anti-procyclicality and stress testing analyses
Input data validation, implement process improvements to streamline data analysis and reporting
Liaise with Regulators for MV topics
Interact effectively with model designers and model developers, as well as with external consultants supporting validation activities
Present findings and recommendations to management and stakeholders, and draft independent validation reports to internal and supervisory standards
Knowledge, Skills and Experience:
Master's Degree in Quantitative Finance, Engineering, Mathematics, Statistics, Physics or equivalent
Strong knowledge of financial markets and instruments, pricing, risk indicators
3-5 years of work experience in the banking or financial services industry, including regulators or consultancy firms; experience with Clearing Houses is a plus
Solid grounding in market risk quantitative techniques (VaR and Expected Shortfall estimation and related backtesting tests)
Familiarity with the EMIR regulatory framework and ESMA technical standards is a plus
Proficiency in Microsoft Office package
Strong knowledge of programming languages (e.g. Python, SQL, Julia), with the ability to build and document quantitative models from scratch in a professional development environment (e.g. PyCharm)
Strong analytical skills, critical thinking and problem-solving attitude
Fluency in both spoken and written English, including technical report writing
Strong attitude to teamwork and ability to work well under pressure
Excellent communication skills and outcome oriented
Knowledge of info providers (Bloomberg, Reuters)
CFA and/or FRM certification preferred
