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Environmental health safety specialist

York (North Yorkshire)
SOLGESTH SOLUCIONES EMPRESARIALES
Environmental
€55,000 a year
Posted: 5h ago
Offer description

The Quantitative Risk Analyst is responsible for developing analytical frameworks and quantitative methodologies to identify, assess, and monitor various risk exposures across the organization. This role supports risk management and business decision-making by leveraging statistical analysis, mathematical modeling, and data-driven insights to evaluate financial, operational, and market-related risks.

Key responsibilities include designing and maintaining risk models, conducting scenario analysis and stress testing, and analyzing large datasets to identify trends, anomalies, and emerging risk factors. The role also involves collaborating with cross-functional teams to enhance risk measurement frameworks, improve model governance, and support strategic initiatives related to risk optimization and capital efficiency.

The position requires translating complex quantitative findings into clear and actionable recommendations for stakeholders. Strong technical expertise, analytical rigor, and attention to detail are essential to ensure the reliability and effectiveness of risk assessments. The role combines deep quantitative analysis with practical business understanding to support a robust risk management environment.


Qualifications

* Strong quantitative, analytical, and problem-solving skills with the ability to interpret complex datasets and risk metrics
* Proficiency in statistical modeling, quantitative analysis, and data interpretation
* Strong understanding of risk measurement methodologies, scenario analysis, and stress testing frameworks
* Ability to develop and validate analytical models with a high standard of accuracy and rigor
* Excellent communication skills with the ability to present technical concepts clearly to diverse stakeholders
* Familiarity with programming, data analysis tools, and model development practices
* Strong attention to detail and commitment to data quality and model integrity
* Ability to manage multiple analytical projects in a fast-paced environment
* Sound judgment, intellectual curiosity, and a proactive approach to continuous improvement
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