Model Risk Specialist: Validate & Stress-Test Market Models

hrhub; Roma; On-site; EUR 45,000 - 55,000; Full time

Job summary

hrhub in Rome is seeking a Model Risk - Specialist to join the Model Risk LOD2 Team. You will independently validate models and develop Python-based replications for margin and stress testing, ensuring alignment with internal and supervisory standards.

The ideal candidate holds a Master’s in a quantitative field, 5-7 years in banking/finance, strong VaR/ES knowledge, and fluent English. Experience with EMIR/ESMA is a plus; collaboration with regulators and external consultants is expected.

Qualifications

• Master's degree in a quantitative field (e.g., finance, engineering, math, stats, physics).
• Strong knowledge of financial markets and risk indicators.
• 5-7 years in banking/fintech/consulting, with regulators or advisory exposure preferred.
• Solid market risk techniques (VaR, ES) and backtesting knowledge.
• English fluent, with strong report writing skills.
• Programming proficiency in Python/SQL/Julia for model development.

Responsibilities

• Independently validate risk models for market, credit and liquidity risk.
• Develop Python replications for margin and stress-testing models.
• Analyze significant model changes and issue recommendations.
• Design sensitivity analyses, backtesting, anti-cyclicality and stress tests.
• Validate input data and drive reporting improvements.
• Liaise with Regulators on MV topics and regulatory standards.
• Collaborate with model designers/developers and external consultants.
• Present findings and draft validation reports to standards.

Skills

Python

SQL

Julia

English

Analytical skills

Teamwork

Communication

Education

Master's Degree in Quantitative Finance/Engineering/Mathematics/Statistics/Physics

Tools

Bloomberg

Reuters

Job description

hrhub in Rome is seeking a Model Risk - Specialist to join the Model Risk LOD2 Team. You will independently validate models and develop Python-based replications for margin and stress testing, ensuring alignment with internal and supervisory standards.

The ideal candidate holds a Master’s in a quantitative field, 5-7 years in banking/finance, strong VaR/ES knowledge, and fluent English. Experience with EMIR/ESMA is a plus; collaboration with regulators and external consultants is expected.