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Hrhub

Euronext Clearing - Specialist, Model Risk

Rome - via Tomacelli · Milan

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hirly's read of this role

Seniority
Mid level
Country
IT
Work mode
On-site / unstated
First seen by hirly
13 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Join us as a Model Risk – Specialist !

Are you ready to shape the future of capital markets? We are looking for a Model Risk – Specialist to join the Model Risk LOD2 Team in Rome . This is a position offering an exciting opportunity to contribute to our mission.

Ccnl credito

Ral starting from 50.000€

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
  • 5-7 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

We are proud to be an equal opportunity employer. We do not discriminate against individuals on the basis of race, gender, age, citizenship, religion, sexual orientation, gender identity or expression, disability, or any other legally protected factor. We value the unique talents of all our people, who come from diverse backgrounds with different personal experiences and points of view and we are committed to providing an environment of mutual respect.

Additional Information

This job description is only describing the main activities within a certain role and is not exhaustive. It does not prevent to add more tasks, projects.

W e are proud to be an equal opportunity employer. We do not discriminate against individuals on the basis of race, gender, age, citizenship, religion, sexual orientation, gender identity or expression, disability, or any other legally protected factor. We value the unique talents of all our people, who come from diverse backgrounds with different personal experiences and points of view and we are committed to providing an environment of mutual respect.

Additional Information

This job description is only describing the main activities within a certain role and is not exhaustive. It does not prevent to add more tasks, projects.

Original posting on Hrhub's site ↗

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