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- Tasks: Lead innovative climate and nature analytics research to shape investment strategies.
- Company: Bloomberg, a leader in sustainable investment analytics with a collaborative culture.
- Benefits: Competitive salary, professional development, and opportunities to engage with industry leaders.
- Why this job: Make a real impact on sustainability while advancing your career in a dynamic environment.
- Qualifications: PhD or Master’s in a quantitative field and strong Python programming skills required.
- Other info: Join a team that values innovation and offers excellent career growth opportunities.
The predicted salary is between 72000 - 108000 £ per year.
Bloomberg’s Sustainable Investments Quantitative Research team develops climate- and nature-related investment analytics and ESG scoring frameworks used by global asset owners and managers. The team designs and delivers quantitative models, signals and portfolio analytics distributed across the Bloomberg Terminal, Enterprise Data and Bloomberg Indices. A central mandate is embedding financially material sustainability data and analytics into investment workflows.
We are seeking a Senior Quantitative Researcher to lead the development of next-generation climate and nature analytics that will help research analysts and portfolio managers inform portfolio construction, risk management and index design. This role requires scientific expertise, advanced quantitative skills and the ability to translate complex research into scalable, commercially impactful solutions. You will play a key role in shaping Bloomberg’s sustainability research agenda and representing the firm externally through publications, client engagement and industry forums.
We’ll Trust You To
- Lead research and development of innovative climate- and nature-related models, investment signals and portfolio analytics
- Design portfolio construction frameworks aligned with evolving climate pathways and nature-related risks
- Incorporate scientific and academic research into robust, production-ready models deployed across Bloomberg platforms
- Partner with engineering, data, index and product teams to transform research ideas into client products
- Engage directly with investors to understand evolving needs and ensure research aligns with commercial priorities
- Publish research papers and represent Bloomberg at conferences, webinars and industry discussions
You’ll Need To Have
- Deep knowledge of climate science, scenarios and pathways and comprehension of physical and transition risks and how they could impact financial assets
- Understanding of nature-related risks, biodiversity metrics or environmental system modeling
- Familiarity with sustainability-related regulatory frameworks
- Advanced quantitative skills, including statistical modeling and working with large, unstructured datasets
- Strong Python programming skills and experience developing research-grade code
- Demonstrated ability to communicate complex quantitative concepts to both technical and non-technical audiences
- PhD or Master’s degree in Environmental/Earth Science, Quantitative Finance, Economics, Physics, Mathematics, Statistics, Engineering or related quantitative discipline
- 2+ years post-degree experience that includes working with climate and ESG models, implementing quantitative models in Python, cross-team collaboration and client interaction
We’d Love To See
- Experience working in an asset management, quantitative investment or financial data environment
- Experience engaging with institutional clients or external stakeholders
- Knowledge of portfolio construction, factor models and optimisation
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
Senior Sustainability Quantitative Researcher employer: Bloomberg
Contact Detail:
Bloomberg Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Sustainability Quantitative Researcher
✨Tip Number 1
Network like a pro! Reach out to professionals in the sustainability and finance sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models or any relevant projects you've worked on. This is your chance to demonstrate your expertise in climate science and Python programming. We recommend sharing this on platforms like GitHub or even your own website.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex concepts clearly to both technical and non-technical audiences. Practice with friends or use mock interview platforms to get comfortable with articulating your thoughts.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, get your application in and let’s make an impact together!
We think you need these skills to ace Senior Sustainability Quantitative Researcher
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your advanced quantitative skills and Python programming experience. We want to see how you can apply these in the context of climate and nature analytics, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific experiences that relate to climate science and ESG models, as this will show us you understand what we’re looking for.
Keep It Clear and Concise: When writing your application, aim for clarity. We appreciate well-structured responses that communicate complex ideas simply, especially since you'll be translating research for various audiences.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Bloomberg
✨Know Your Climate Science
Make sure you brush up on your knowledge of climate science, scenarios, and pathways. Be ready to discuss how physical and transition risks can impact financial assets, as this will show your deep understanding of the subject matter.
✨Showcase Your Quantitative Skills
Prepare to demonstrate your advanced quantitative skills, especially in statistical modelling and handling large datasets. Bring examples of your work with Python programming and research-grade code to highlight your technical expertise.
✨Communicate Clearly
Practice explaining complex quantitative concepts in simple terms. You’ll need to engage with both technical and non-technical audiences, so being able to communicate effectively is key to making a strong impression.
✨Engage with Real-World Applications
Be ready to discuss how your research can translate into scalable, commercially impactful solutions. Think about how you can align your work with evolving climate pathways and nature-related risks, and be prepared to share your insights on portfolio construction and risk management.