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For Companies At a Glance
- Tasks: Lead climate risk modelling for trading books, ensuring compliance and global consistency.
- Company: Join a leading financial institution focused on innovative market risk management.
- Benefits: Enjoy a competitive salary, bonuses, hybrid work options, and comprehensive benefits.
- Why this job: Make a real impact on climate risk while working in a dynamic, collaborative environment.
- Qualifications: Strong quantitative skills in maths or related fields; climate science experience preferred.
- Other info: Opportunity to engage with regulators and senior stakeholders, enhancing your professional network.
The predicted salary is between 90000 - 128000 £ per year.
Permanent position based in London (Hybrid) with a salary range of £90,000–£128,000 plus bonus and benefits.
Role Summary
You will be a technical and strategic lead for climate risk modeling in market risk management, specifically for the trading book. Your key responsibilities involve designing and maintaining methodologies related to:
- Value-at-Risk (VaR)
- Stressed VaR
- Incremental Risk Charge (IRC)
- Other related market risk models adapted for climate risk exposure
This includes owning the end-to-end model lifecycle — from development through to regulatory communication and documentation.
Core Responsibilities
- Model Development & Validation: Build and enhance models incorporating climate risk into trading book metrics. Ensure global consistency and regulatory compliance.
- Framework Ownership: Develop global methodology standards for climate risk integration into market risk.
- Project & Resource Management: Manage model development projects, potentially across multiple regions or teams.
- Stakeholder Engagement: Translate technical climate risk models into clear insights for regulators, trading desks, and risk management teams.
- Documentation: Create well-structured and comprehensive documentation suitable for both technical and non-technical audiences.
Qualifications and Skills
Required:
- Academic/Technical Background: Strong quantitative background in Mathematics, Statistics, Physics, Computer Science, or related field.
- Climate Science Expertise: Direct experience with climate science modeling, ideally in a financial context (e.g., scenario analysis, carbon exposure models).
- Market Risk Modeling: Deep familiarity with market risk frameworks like VaR, Stressed VaR, IRC, and derivatives.
- Programming: Solid experience with Python (e.g., for modeling, data analysis, visualization).
- Communication: Ability to simplify and explain complex modeling decisions to a non-technical audience (e.g., regulators or senior stakeholders).
Preferred:
- Experience with stress testing frameworks (e.g., CCAR, ICAAP, climate stress testing).
- Knowledge of economic capital models.
- Familiarity with regulatory frameworks like Basel III/IV, TCFD, or NGFS would be advantageous.
Senior Quantitative Analyst Climate Risk in Trading Book employer: ETRA Talent
Contact Detail:
ETRA Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Analyst Climate Risk in Trading Book
✨Tip Number 1
Network with professionals in the climate risk and trading sectors. Attend industry conferences or webinars to meet potential colleagues and learn about the latest trends in climate risk modeling.
✨Tip Number 2
Familiarise yourself with the latest regulatory frameworks like Basel III/IV and TCFD. Understanding these regulations will not only enhance your knowledge but also demonstrate your commitment to compliance in your discussions with stakeholders.
✨Tip Number 3
Showcase your programming skills, particularly in Python, by working on relevant projects or contributing to open-source initiatives. This practical experience can set you apart and provide concrete examples to discuss during interviews.
✨Tip Number 4
Prepare to explain complex climate risk models in simple terms. Practising how to communicate technical concepts to non-technical audiences will be crucial, especially when engaging with regulators and senior stakeholders.
We think you need these skills to ace Senior Quantitative Analyst Climate Risk in Trading Book
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quantitative skills and experience in climate risk modeling. Emphasise your familiarity with market risk frameworks like VaR and your programming skills in Python.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about climate risk and how your background aligns with the role. Mention specific projects or experiences that demonstrate your expertise in climate science and market risk.
Showcase Communication Skills: Since the role requires translating complex models into clear insights, provide examples in your application of how you've successfully communicated technical information to non-technical audiences.
Highlight Project Management Experience: If you have experience managing model development projects, be sure to include this in your application. Detail any cross-regional or team collaborations that showcase your leadership and organisational skills.
How to prepare for a job interview at ETRA Talent
✨Showcase Your Technical Expertise
Be prepared to discuss your quantitative background in detail. Highlight your experience with climate science modeling and market risk frameworks like VaR and IRC. Use specific examples from your past work to demonstrate your technical skills.
✨Communicate Clearly
Since the role involves translating complex models into insights for non-technical audiences, practice explaining your work in simple terms. Think about how you would present your findings to regulators or senior stakeholders who may not have a technical background.
✨Demonstrate Project Management Skills
Be ready to discuss any previous experience managing model development projects. Highlight your ability to coordinate across teams and regions, and provide examples of how you successfully delivered projects on time and within scope.
✨Prepare for Regulatory Discussions
Familiarise yourself with relevant regulatory frameworks such as Basel III/IV and TCFD. Be prepared to discuss how your work aligns with these regulations and how you can ensure compliance in your modelling practices.
