At a Glance
- Tasks: Lead the development of climate risk analytics for a cutting-edge platform.
- Company: Join NatureAlpha, a pioneering geospatial-financial risk intelligence firm in London.
- Benefits: Competitive salary plus equity, with opportunities for professional growth.
- Other info: Work with an AI-native team and scale a unique product in a dynamic environment.
- Why this job: Make a real impact on climate insights for global financial institutions.
- Qualifications: 8+ years in climate risk data and strong leadership skills required.
The predicted salary is between 70000 - 90000 £ per year.
NatureAlpha is a London-based geospatial‑financial risk intelligence company backed by DNV Ventures and FNZ Ventures. Their alphaX platform covers 10 million global facilities and is trusted by institutions such as JPMorgan and Franklin Templeton, representing $25 trillion in assets under management.
You will lead the development of NatureAlpha’s Climate layer, integrating physical and transition risk analytics into the alphaX platform. Managing a dedicated AI pod, you’ll define the product strategy, execute build‑vs‑partner decisions, and deliver high‑resolution climate insights to global financial institutions, bridging the gap between geospatial data and financial signal.
Location: London, UK
Why this role is remarkable:
- Own the end‑to‑end strategy and delivery of alphaX’s flagship Climate layer, resolving physical and transition risks for over 10 million individual facilities.
- Join an exceptionally high‑calibre, AI‑native team backed by industry leaders DNV Ventures and FNZ Ventures, serving clients managing $25 trillion in assets.
- Scale a category‑defining product that integrates nature and climate data at the same coordinates, providing a unique structural advantage over legacy providers.
What you will do:
- Define the global Climate strategy, making critical build‑vs‑partner decisions for hazard modeling, emissions data, and regulatory alignment across major frameworks like CSRD and ISSB.
- Lead a dedicated pod of AI developers to engineer pipelines for hazard‑layer ingestion, damage‑function application, and scenario computation at facility scale.
- Translate complex climate capabilities into commercial offerings, engaging directly with Tier‑1 banks and asset managers to validate and iterate on product delivery.
The ideal candidate:
- Brings 8+ years of leadership experience in climate risk data from top‑tier specialists such as MSCI Climate, S&P Global Sustainable1, or Moody’s.
- Demonstrates deep fluency in physical risk (hazard modelling, CMIP6/SSP scenarios) and transition risk (Scope 1–3 emissions, NGFS scenarios, and SBTi frameworks).
- Possesses the technical ability to interrogate large datasets alongside AI engineers and the entrepreneurial drive to build 0‑to‑1 products in a fast‑paced environment.
Product Owner Climate (+ Equity) at NatureAlpha in London employer: Jack & Jill
At Jack & Jill, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our team enjoys a range of benefits including flexible working arrangements, professional development opportunities, and a collaborative environment that encourages creativity and growth. Located in a vibrant area, we offer unique advantages such as access to cutting-edge technology and the chance to work with industry leaders in AI-driven marketing strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Product Owner Climate (+ Equity) at NatureAlpha in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Jack & Jill!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Product Owner Climate (+ Equity) at NatureAlpha at Jack & Jill.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Jack & Jill.
✨Apply Directly through Our Website
When you find a suitable opening like Product Owner Climate (+ Equity) at NatureAlpha at Jack & Jill, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Product Owner Climate (+ Equity) at NatureAlpha in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Jack & Jill, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jack & Jill. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Jack & Jill
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Jack & Jill!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
