Curriculum Vitae
Contact Information
| Name | Pearl Ayem |
| Professional Title | Climate & Nature Risk Lead |
| pearlayem@gmail.com |
Professional Summary
Climate and nature risk leader, data engineer and atmospheric scientist who turns physical science into financial risk for boards, investors and governments. Leads a cross-functional team quantifying physical, transition and supply-chain risk for FTSE 100 companies, asset managers, insurers and global brands, as well as the firm’s applied AI programme. Has advised the C-suites of food, apparel, luxury, retail and construction companies with combined annual revenue of over $200 billion. At Bloomberg, on secondment to GFANZ, designed the data model for the Net-Zero Data Public Utility, launched at COP28, and wrote speech content and figures delivered by Mark Carney and Michael Bloomberg. Started out in Western Canada with LiDAR drone mapping and atmospheric fieldwork, then won a full scholarship to Cambridge. A hands-on engineer, architected a BigQuery pipeline over hundreds of terabytes of climate data and cut its cloud storage costs by 94%.
Experience
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Mar 2025 - London, UK
Lead Environmental Risk Modeller
Risilience
Climate and nature risk analytics for FTSE 100 companies, asset managers, insurers and global consumer brands.
- Lead cross-functional team of modellers, economists, data scientists and engineers delivering climate and nature risk analytics to FTSE 100 companies, asset managers, insurers and global consumer brands.
- Own the planning and delivery of climate, nature and supply-chain risk models that quantify physical and transition risk in financial terms across multiple sectors.
- Lead the planning and build of a company-wide digital twin that assesses financial and climate risk from drought, freeze, heatwave, water stress, agricultural yield loss and nature depletion.
- Lead for supply-chain and agricultural risk models spanning 30+ crops, fed by bias-corrected CMIP6 ensembles, satellite data and academic sources.
- Architected and built a first-of-its-kind global crop water balance engine on Google BigQuery, simulating daily soil moisture for 10 commodity crops across ~1.5 million locations at ~9 km resolution, under different models and future scenarios. It processes 570+ billion rows of daily climate data into a 1.1 billion-row output that quantifies water stress across the supply chains of major food, fashion and entertainment brands (case study).’
- Re-architected the data engineering pipeline to stream daily simulations directly into annual results, eliminating 634 TB (2.1 trillion rows) of intermediate tables. This cut cloud storage costs by 94% (from ~$14,000 to under $900 a month) and first-year pipeline cost from $172K to under $11K.
- Cut the full global run of 35 climate scenarios from days to ~14 hours on 4 parallel workers (~45 minutes per scenario). The legacy multi-pass design scanned over 18 PB of data; replacing it cut compute costs by over 99%.
- Resolved production scaling failures in BigQuery, including JavaScript UDF memory exhaustion, 62 TB shuffle spills and DML quota limits, through memory-efficient UDF design (from over 512 MB to under 2 MB per worker), hierarchical geospatial batching, table re-clustering and fault-tolerant, resumable Python orchestration.
- Onboarded and harmonised varied datasets (NASA NEX-GDDP-CMIP6, EarthStat, SoilGrids, SRTM elevation, WRI Aqueduct) onto a common global grid to onboard future data without code changes.
- Own data quality at billion-row scale, with audit queries that isolate anomalies by scenario and region, idempotent slice replacement, and provenance logging for every run.
- Researched and selected CMIP6 ensemble spanning the full range of climate sensitivity, cutting simulation runs by 77% while preserving scientific coverage.
- Part of firm’s AI upgrades team, building agentic workflows with LangGraph and LangSmith that halved model release cycles (from 8 weeks to 4), and trialling enterprise LLM tooling (Gemini, Vertex AI, NotebookLM) for research and client analytics.
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Dec 2023 - Feb 2025 London, UK
Senior Climate Risk Modeller
Sillion
Climate risk and sustainability advisory for FTSE 100 and FTSE 250 companies and asset managers.
- Led climate risk engagements for FTSE 100 and FTSE 250 clients, delivering scenario analysis, earnings-at-risk, transition risk and double materiality assessments.
- Built Python risk models quantifying earnings-at-risk under multiple climate scenarios, integrated directly into clients’ financial dashboards.
- Integrated results into clients’ TCFD/ISSB, CSRD, TPT, SECR, CDP and GRI disclosures and annual reports, and advised on alignment with Canada’s CSSB standards (CSDS 1 and 2).
- Built the firm’s first transition-planning dashboard, combining economic and climate models to support reporting under TPT, CSRD and CSDDD.
- Product Lead for an ESG research tool tracking KPIs across 600+ companies, integrated into Power BI, Tableau and Excel workflows.
- Sold climate risk models to asset managers and FTSE corporates, personally closing around two contracts a year, the largest worth £820K and several in the £150K–200K range; supported RFPs and sales on around six a year.
- Presented to C-suites, boards and press (media-trained); built recurring business through partnerships and professional networks.
- Managed and mentored junior analysts and consultants.
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Jun 2022 - Nov 2023 London, UK
Net-Zero Data Lead
Bloomberg L.P. (secondment to GFANZ and the Net-Zero Data Public Utility)
On secondment to the Glasgow Financial Alliance for Net Zero (GFANZ), building the Net-Zero Data Public Utility, a free global climate-transition data platform now hosted by the UNFCCC as the Climate Data Utility.
- Designed the complete data model for the Net-Zero Data Public Utility, launched at COP28 by President Emmanuel Macron and Michael Bloomberg.
- Wrote speech content and figures delivered by Mark Carney (then UN Special Envoy for Climate Action and Finance, now Prime Minister of Canada) and Michael Bloomberg.
- Wrote the COP28 launch briefing and built the user guides and demos shown at the COP28 booths.
- Oversaw the work of Google’s engineers, the platform’s external technical partner, through to launch.
- Ran vendor interviews and evaluation with the CTO and the head of the project, helped author the NZDPU request for proposal, and cleaned and prepared the platform’s data.
- Built a climate reporting model for GFANZ and worked with stakeholders including President Macron’s office, the governments of Switzerland and Singapore, CDP and the UNFCCC, supporting the Climate Data Steering Committee’s recommendations and the GFANZ Principals Group statement of support.
- Helped secure the CDP partnership that brought 10,000+ companies’ climate data onto the platform.
- Managed a team of 40 analysts for GFANZ’s COP27 data launch, and prepared briefs on 700 climate KPIs for Michael Bloomberg’s COP27 keynote.
- Co-authored GFANZ’s guidance on financial institution net-zero transition plans and the NZDPU development report with partners from the ISSB and IEA.
- Sold climate data and analytics to asset managers and commodities trading firms.
- Built ETL pipelines and APIs ingesting data from hundreds of providers; subject-matter expert on Scope 1, 2 and 3 emissions, reporting standards and jurisdictional policy, including Canada’s OSFI Guideline B-15 and CSA climate disclosure rules.
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Oct 2021 - Jun 2022 Cambridge, UK
Climate Science Researcher
University of Cambridge & British Antarctic Survey
MPhil research at the Scott Polar Research Institute, funded by the Scott Polar Scholarship (thesis).
- Investigated the atmospheric drivers of surface melt on the George VI Ice Shelf, Antarctica, over 32 years.
- Analysed 1.7 billion geospatial data points across CMIP5 global and regional climate models and NOAA and Copernicus observations; built a convolutional neural network and EOF analysis to identify seasonal melt patterns.
- Presented findings at conferences; the work is now used as teaching material on Cambridge’s MPhil programme, and was featured on Cambridge’s channels.
- Supervised by Professor Ian Willis (Scott Polar Research Institute) and Dr Amélie Kirchgaessner (British Antarctic Survey).
- Tech stack: Python, xarray, pandas, geopandas, scipy, scikit-learn, eofs, pyproj, netCDF, HDF5, rasterio, GDAL, Shapely, fiona, cartopy, matplotlib, plotly.
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Sep 2018 - Oct 2021 Vancouver, Canada
Brand Manager, Sustainability
P.G.A. Hospitality
Sustainable business development for a Vancouver hospitality group.
- Contracted to the CEO to lead sustainable business development; managed a team of 10.
- Grew revenue by 233% and profits by 31%, and raised CAD 1.5M in investment.
- Secured contracts with local, sustainable suppliers to keep operations running through pandemic supply-chain disruption.
- Wrote and won an RFP bid for a new location; developed business plans, marketing materials and seasonal menus.
- The business earned 9 awards and a place in Greater Vancouver’s Top 30 cafés.
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Jul 2018 - Sep 2019 Vancouver, Canada
Geospatial Engineer
UAViation Aerial Solutions
LiDAR drone mapping and flight-automation software; the company was later acquired by Volatus Aerospace.
- Project Lead for LiDAR drone mapping operations and GIS post-processing across British Columbia, Alberta and Yukon.
- Delivered 18 projects in 12 months for government, BC Wildfire Service, search-and-rescue, natural resource, academic and private-sector clients.
- Team Lead for the software team building the company’s flight-automation app (Android Studio, REST APIs, Google Maps API, DJI UX SDK).
- Solved photogrammetry and LiDAR flight-mapping problems in C++, Java and Python; post-processed with Pix4D, ArcGIS and QGIS.
- Supported the CEO in client meetings; my work contributed to the company’s acquisition by Volatus Aerospace.
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Dec 2016 - May 2020 Vancouver, Canada
Research Assistant, Atmospheric Science
University of British Columbia
Fieldwork and remote sensing across the Earth, Ocean and Atmospheric Sciences department’s research labs.
- Built, installed and calibrated weather and carbon flux stations to WMO standards to study blue carbon, bog carbon flux and the urban heat island effect in Vancouver.
- Took eddy-covariance measurements during the Buckley Bay wildfires and tested diffuse-radiation fertilisation against NASA aerosol data (contributed to McKendry et al., 2019).
- Sampled and analysed phytoplankton in Burrard Inlet to assess its role as a carbon sink.
- Studied glacial katabatic winds and cloud-street formation over Greenland using MODIS, GOES-16/17 and Landsat 7/8 imagery and ECMWF reanalysis, with PCA, Sobel edge detection, Self-Organizing Maps and CNNs.
- Built ETL pipelines on AWS EC2 and S3, processing GOES satellite data from NOAA’s public archive.
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Dec 2016 - Jun 2020 Vancouver, Canada
Lead Teaching Assistant, Computer Science
University of British Columbia
Head Teaching Assistant for Computer Science.
- Managed 18 TAs and taught Python and C++ labs and lectures to 1,000 students; Best TA award three years running.
- Helped pilot a new data science course, writing modules on climate data computing and contrast stretching of satellite imagery.
Board Memberships
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Aug 2024 - Feb 2026 Remote
Board Member, Revenue Generation
Compassionate Eye Foundation
A global charity funding grassroots projects aligned with the UN Sustainable Development Goals.
- Board member responsible for revenue generation strategy.
- Identified and applied for grants, trusts and major funding; built relationships with donors, corporate sponsors and stakeholders.
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Oct 2021 - Mar 2023 Cambridge, UK
Co-Organiser & DEI Lead
Polar Impact
An NGO supporting BIPOC professionals in the polar research community.
- Co-wrote grant proposals that won £50,000 from the National Science Foundation, UKRI and National Geographic.
- Organised climate justice speaker panels at COP26.
Education
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2021 - 2022 Cambridge, UK
MPhil in Polar Studies (Atmospheric Physics)
University of Cambridge, St Catharine's College
- Scott Polar Scholarship: full scholarship awarded to the top applicant.
- Dissertation: atmospheric drivers of surface melt on the George VI Ice Shelf, Antarctica, over 32 years, using machine learning on 1.7 billion geospatial data points.
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2015 - 2020 Vancouver, Canada
BSc in Atmospheric Science
University of British Columbia
- Graduated top of class; Dean’s Honour Roll four consecutive years (2017 to 2020).
- Ministry of Education and BC Excellence Scholarships.
- Undergraduate thesis (93%): the effect of glacial katabatic winds on cloud formation over Greenland, using satellite imagery and machine learning. Supervised by Dr Ian McKendry.
Skills
Publications
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2022 Development of the Net-Zero Data Public Utility (co-author)
NZDPU / Bloomberg
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2022 Request for Proposal: Net-Zero Data Public Utility (contributor)
NZDPU / Bloomberg
Speaking & Media
- Featured in the British Science Association’s Smashing Stereotypes 2025 campaign for work in STEM and climate.
- Invited guest blog for the British Science Association: Tackling Eco-Anxiety (2025).
- Featured in St Catharine’s College, Cambridge’s Net Zero by 2040 alumni series (2025) and Amplifying Diversity in Polar Exploration (2021).
- Wrote speech content and figures delivered by Mark Carney and Michael Bloomberg, including the KPI briefs behind Bloomberg’s COP27 keynote.
- Built the launch briefing and booth demos for the Net-Zero Data Public Utility at COP28.
- Organised climate justice speaker panels at COP26.
- Presented Antarctic surface melt research at academic conferences.
- Regularly present climate risk findings to C-suites, boards and press; media-trained.
Awards
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2021 Scott Polar Scholarship
University of Cambridge
Full scholarship awarded to the top applicant for the MPhil in Polar Studies at the Scott Polar Research Institute.
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2020 Best Teaching Assistant Award (3 consecutive years)
University of British Columbia
Awarded 2018, 2019, 2020.
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2020 Dean's Honour Roll (4 consecutive years)
University of British Columbia
Awarded for scoring above 85% — 2017, 2018, 2019, 2020.
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2016 Ministry of Education Scholarship
Government of Canada
Top 25% of students starting post-secondary education in Canada.
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2016 BC Excellence Scholarship
Government of British Columbia
Top 10% of students starting post-secondary education in British Columbia.
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2015 Western University Entrance Scholarship
Western University
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2015 Bronze Medal — Canadian National Science Fair
Youth Science Canada
Hybrid photovoltaic-thermoelectric solar cell with 19% higher efficiency than conventional cells; top project in the Innovation category from over 900 projects nationwide.
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2015 Gold Medal — Vancouver Provincial Science Fair
Greater Vancouver Regional Science Fair
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2015 Chief Judge Award — Vancouver Provincial Science Fair
Greater Vancouver Regional Science Fair
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2015 UBC Engineering Physics Award — Vancouver Provincial Science Fair
University of British Columbia
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2014 Top 25 — Pascal Mathematics Contest
Centre for Education in Mathematics and Computing
Projects
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Planetary-scale crop water balance engine
Built solo over ~4 months, from scientific methodology (FAO-56, SWAT, Cosby soil hydraulics) to production. Daily soil water balance model for ~920,000 farmland locations under 7 CMIP6 models and 4 emissions scenarios to 2070, combining CMIP6 climate, EarthStat crops, SoilGrids soils and SRTM elevation with Penman-Monteith evapotranspiration. Re-architected on BigQuery to cut storage from 680 TB to 46 TB, cloud storage costs by 94%, and a full global run from days to ~14 hours.
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MPhil Dissertation — University of Cambridge
Investigating atmospheric drivers of surface melt on the George VI Ice Shelf (GVIIS) in Antarctica over 32 years. Analysed up to 1.73 billion geospatial data points; built a Convolutional Neural Network and conducted EOF analysis to predict clustered weather patterns influencing melt.
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Cloud Streets Clustering — University of British Columbia
Studied the significance of glacial katabatic winds on cloud formation over Greenland (undergraduate thesis, 93%). Used MODIS, Landsat 7/8 and GOES-16/17 imagery, image clustering, PCA, Sobel edge detection, a custom neural network and Self-Organizing Maps to detect mesoscale cellular convection. Supervised by Dr Ian McKendry.
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Plant Productivity During the Buckley Bay Wildfires
Modelled plant productivity during the Buckley Bay wildfires using NASA Aerosol Optical Depth data to test diffused-radiation fertilisation (contributed to McKendry et al., 2019). Used to study the carbon cycle during wildfire events across British Columbia.
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AWS-Hosted GOES Cloud Computing Pipeline
Built ETL pipelines on AWS EC2 servers to ingest GOES data via Jupyter notebooks pulling from NOAA’s S3 bucket. Produced true and pseudo-colour imagery, climate animations, and maps of rain rate, radiances and reflection for deep convective storms.
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Carbon Flux Weather Stations, Vancouver
Constructed and set up weather stations to detect carbon flux from bogs in Vancouver using eddy covariance methods. Trained on operating, calibrating and maintaining meteorological field instruments to WMO standards.
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Hybrid Photovoltaic-Thermoelectric Solar Cell
Invented a hybrid photovoltaic and thermoelectric solar cell that produced electricity at 19% higher efficiency than conventional cells. Excess heat from the photovoltaic cell was absorbed by the heating side of a Peltier tile, while the cooling side was passively cooled by a thermosiphon to reduce hot spots. Selected as the top project in the Innovation category from over 900 projects nationwide at the Canadian National Science and Engineering Fair.
Finance & Climate Certificates
- Bloomberg Market Concepts - Bloomberg (2023)
- Corporate Finance Foundations - LinkedIn (2022)
- Carbon Literacy Certificate - The Carbon Literacy Project (2021)
Technical Certificates
- Data Engineer in Python - DataCamp (2024)
- Software Engineering Principles in Python - DataCamp (2024)
- Foundations of Git - DataCamp (2024)
- Streamlined Data Ingestion with pandas - DataCamp (2024)
- Understanding Cloud Computing - DataCamp (2024)
- Data Design - DataCamp (2024)
- Intermediate Importing Data in Python - DataCamp (2024)
- Intermediate SQL - DataCamp (2024)
- Introduction to Relational Databases in SQL - DataCamp (2024)
- Python Data Science Toolbox (Part 2) - DataCamp (2023)
- Python Data Science Toolbox (Part 1) - DataCamp (2023)
- Intermediate Python - DataCamp (2022)
- Intermediate SQL - DataCamp (2022)