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Date live:
Oct. 17, 2025
Business Area:
Risk
Area of Expertise:
Risk and Quantitative Analytics
Reference Code:
JR-0000075798
Contract:
Permanent
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Explore locationWe are seeking a highly motivated AVP/VP level - Climate Risk Modelling Analyst Model Developer to join our Quantitative Analytics Climate Risk and Portfolio Management team. This is a high-impact role focused on the quantification and management of climate and catastrophe risk. You will play a key role in developing the firm's Climate Risk Appetite Framework and advancing portfolio-level risk analytics.
Key Responsibilities:
Develop quantitative frameworks to assess and manage the firm’s exposure to climate-related and catastrophe risks.
Perform portfolio aggregation, data quality assessments, and create stress-testing scenarios and heat maps.
Conduct impact analyses and forecasts to inform portfolio risk decisions and support strategic planning.
Design and implement cutting-edge analytics to optimize risk-return trade-offs and drive sustainable portfolio growth.
Establish rigorous processes for defining and monitoring risk appetite, with a focus on climate-related exposures.
Blend quantitative models with qualitative insights to enhance innovation and accelerate problem-solving.
Evaluate and interpret results from third-party catastrophe models, integrating them into internal risk frameworks.
Collaborate with internal stakeholders across Risk, Finance, Strategy, and external model providers to align on climate risk methodologies and findings.
Prepare and deliver high-quality presentations and reports to senior management, highlighting key climate risk exposures, performance expectations, and strategic opportunities.
Ensure all risk activities comply with regulatory standards and internal policies, maintaining a strong control environment and promoting a culture of ethical risk-taking.
Essential Skills & Experience:
Background in a quantitative field (math, physics, engineering, computer science), economics or natural sciences
Strong programming skills in Python for data analysis and model development.
Ability to communicate complex quantitative concepts to non-technical stakeholders.
Proven ability to work independently and collaboratively in a cross-functional environment.
Desirable Skills:
Understanding of portfolio risk management concepts and catastrophe/climate risk modelling.
Potential to lead technical project teams from project initiation through development, validation and final delivery to stakeholders.
Experience with data visualization tools and reporting dashboards is a plus big data processing, visualization tools and reporting
Exposure to ESG sustainability or climate-related topics and financial risk frameworks.
Proficiency in C++, R, SQL, or SAS.
You may be assessed on the key critical skills relevant for this role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.
This role is based in our Prague Location.
Purpose of the role
To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making
Accountabilities
Vice President Expectations
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.