Financial Risks Validation Specialist

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Overview

You will join the Financial Risks Validation team – ALM, IRRBB and ICAAP Validation, contributing to the independent validation of models used for measuring and monitoring Interest Rate Risk in the Banking Book (IRRBB) and Liquidity Risk. The role involves performing quantitative analysis, preparing validation documentation, and interacting with key business functions involved in model development, usage, and governance, as well as with Supervisory Authorities.

What your activities will be

• Carry out independent validation of IRRBB and Liquidity Risk models, verifying their methodological robustness, adequacy, and performance.
• Perform quantitative analysis and statistical tests aimed at evaluating the reliability of models and their underlying assumptions.
• Analyze datasets, parameters, methodologies, and calculation processes used in financial risk measurement frameworks.
• Draft validation reports and technical documentation, formulating findings, recommendations, and assessments on the examined models.
• Interact with model development teams and other functions involved in the model governance process.
• Contribute to the evolution of methodologies, tools, and validation frameworks adopted by the function.
• Support interactions with Supervisory Authorities regarding validation activities and the evidence produced.
• Collaborate with other validation teams.

Who we are looking for

If you have the following characteristics, we are waiting for you:

• Python

• MATLAB

• SQL

• SAS

• Analysis and processing of quantitative data

• Development of model analysis and testing procedures

• English level B2 according to the CEFR scale, written and spoken.

• IRRBB model validation

• Liquidity Risk model validation

• Validation of models related to financial risks

• Quantitative analysis applied to Risk Management

• Model Risk Management frameworks and independent validation processes

• Master's degree in STEM disciplines, with a preference for Mathematics, Statistics, Physics, Engineering, or related fields.

• Knowledge of the relevant regulations in the IRRBB and Liquidity Risk field, previous experience in validating IRRBB and Liquidity Risk models, knowledge of the main financial risk measurement methodologies.

3-5 years of experience in quantitative model validation is required.

What we offer you

• Gross annual salary starting from €38.000
• The Group provides a variable remuneration component as regulated by the Remuneration Policies available on the Group's website
• Complementary elements regulated by the National Collective Labor Agreement for the Credit Sector and second-level company agreements
• Professional development initiatives to support the growth of our people
• Extensive training offer through the Corporate Academy dedicated to the continuous development of professional, managerial, and transversal skills at all levels
• Possibility to join flexible work arrangements and the 4x9 short week
• Modern and integrated corporate welfare system ( link)
• Health coverage and supplementary pension scheme starting from the date of hiring
• Advantages on the Group's banking products and services

Who we are

We are leaders in Italy and one of the main banking groups in Europe. Join us and be part of our success story! With over 20 million customers in Italy and abroad, we are a true engine of sustainable growth with a strong commitment to the environment and a tangible impact on society.

People are at the center; we take care of them by committing to creating an inclusive culture within the Group where everyone feels like a protagonist and valued.

Join our international reality. The future is not waited for, it is chosen!

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We guarantee an inclusive and equal opportunity environment. We will consider all applications regardless of race, religion, sexual orientation, gender identity, marital status, age, disability, or any other protected category in compliance with Legislative Decrees 198/2006, 215/03, and 216/03.

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This listing was sourced from 4dayweek.io.