We're growing Mendria’s founding team! Mendria is a venture-backed, climate–fintech company that has been nominated for the 2026 Earthshot Prize. We help the world’s largest real estate owners and investment managers uncover and prevent hidden financial risks that traditional underwriting models miss. On the sustainability side, our models help cities and institutions reduce up to ~35% of emissions per asset and prevent ~40% of forecast climate-driven loss, all while improving ROI. Our founders have worked at BlackRock, Scale AI, Google, the UNEP, NOAA, DeepMedia AI, Netflix, and Paramount. We’re supported by 100+ environmental scientists and economists, including IPCC authors and Nobel Laureates.Job Description:The Data Science team develops the analytical and modeling foundations behind Mendria’s systems, fusing climate physics, financial engineering, stochastic modeling, and regulatory logic into a cohesive quant stack.Key Responsibilities:<ul><li>Develop and refine quantitative models that estimate risk, value, and ROI using diverse real-world data sources.</li><li>Analyze large, messy datasets to uncover patterns related to asset performance, loss drivers, and transition exposure.</li><li>Partner with engineering to translate analytical frameworks into scalable, production-grade systems.</li><li>Build scenario tools and sensitivity analyses to help clients understand financial outcomes under uncertainty.</li><li>Communicate complex findings clearly, concisely, and with commercial relevance for internal and external stakeholders.</li></ul>Education &amp; Qualifications (Preferred):<ul><li>Bachelor’s or advanced degree in statistics, computer science, engineering, applied math, economics, or a related quantitative field.</li><li>Strong analytical and statistical thinking, with experience working from first principles.</li><li>Demonstrated ability to work with data using Python (pandas, numpy, scikit-learn) and SQL.</li><li>Familiarity with cloud environments (AWS, GCP, or similar).</li><li>Comfort working with location-based or geospatial data is a plus.</li><li>Intellectual curiosity, comfort with uncertainty, and the ability to reason about financial implications from technical signals.</li><li>Clear communicator with the ability to translate quant insights into understandable recommendations.</li></ul>We review applications on a rolling basis and can move quickly for strong candidates.

Mendria, "the Bloomberg Terminal for risk-adjusted real estate," is a climate–fintech, venture-backed company and has been nominated for the 2026 Earthshot Prize. Operating across major global financial centers, including New York, London, Paris, Amsterdam, Berlin, Singapore, and Tokyo, Mendria works with the world’s largest REITs, insurers, family offices, lenders, and institutional investors to detect and price the fastest-growing financial risks no model currently accounts for.Across 100+ assets modeled, Mendria’s interventions are estimated to prevent ~$900M in forecast climate-driven losses and abate 2.8 MtCO₂e annually, equivalent to removing 600,000 cars from the road. Our models help cities and institutions reduce up to ~35% of emissions per asset, all while improving ROI.Our founders have worked at BlackRock, Scale AI, Google, the UNEP, NOAA, DeepMedia AI, Netflix, and Paramount. We’re supported by 100+ environmental scientists and economists, including IPCC authors and Nobel Laureates.

Founding Data Scientist

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About the Company

Mendria

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