Senior Quantitative Analyst

24 hours ago

Bengaluru, Karnataka, India beBeeClimate Full time ₹ 15,00,000 - ₹ 25,00,000
Quantitative Research Associate

We are building a new generation of scientific infrastructure to support high-integrity Carbon Dioxide Removal (CDR) through Enhanced Rock Weathering (ERW).

Our approach to modeling weathering reactions, tracking elemental fluxes, and calculating real-world net CO2 removal is at the heart of this effort.

About the Role

As a Quantitative Research Associate, you will help build, test, and scale the core mathematical and statistical models that underpin our science.

You'll work closely with geochemists, soil scientists, AI engineers, and field teams to turn messy physical data into reliable, registry-grade CDR numbers.

Key Responsibilities
  • Design and validate mathematical models of mineral weathering, geochemical fluxes, and carbon sequestration.
  • Conduct uncertainty quantification and error propagation analysis across sampling and modeling workflows.
  • Build Monte Carlo simulations and other stochastic models for registry-aligned carbon accounting.
  • Analyze datasets from lab, field, and satellite sources to extract meaningful patterns and trends.
  • Support the development of sampling strategies, including spatial and temporal optimization.
  • Collaborate with product and software teams to embed scientific logic into automated MRV platforms.
  • Contribute to whitepapers, publications, and technical memos for third-party validation.
Qualifications
  • Bachelor's or Master's degree in Mathematics / Applied Statistics / Data Science, Physics / Environmental Engineering / Computational Sciences, or equivalent with strong quantitative background.
  • Experience with Statistical modeling and inference, Error analysis, confidence intervals, and sensitivity testing, Simulation methods (e.g., Monte Carlo, bootstrapping).
  • Proficiency in Python (preferred) or R for modeling and data analysis.
  • Comfort with reading scientific papers and replicating models/equations.
  • Bonus: Experience with spatial data, environmental datasets, or climate modeling.
  • Bonus: Understanding of basic geochemical or environmental systems (not required — can learn on the job).

As a quantitative thinker who gets excited by real-world complexity, you treat uncertainty not as a nuisance, but as a solvable scientific problem.

With your rigorous attention to detail and open-minded approach to scientific intuition, you want your models to matter — in public policy, climate impact, and planetary systems.

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