Curriculum Vitae

Contact Information

Name Pearl Ayem
Professional Title Climate Risk Lead
Email pearlayem@gmail.com

Professional Summary

Working at the intersection of climate science, software, and risk, I write production code for the climate, nature and supply-chain models that FTSE100 boards use to plan their next decade, lead applied AI work in agricultural risk, and have helped design data platforms launched at COP28 by heads of state. Most of my career has been spent moving between technical, scientific, policy and commercial worlds, and it’s the kind of work I love most: deeply technical, genuinely useful, silently impactful.

Experience

  • Mar 2025 -

    London, UK

    Lead Environmental Risk Modeller
    Risilience
    • Team Lead for climate and nature risk across leading global brands in food, fashion and entertainment, alongside major asset managers, underwriters and FTSE100 clients.
    • Lead 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 firm’s applied AI work — building agentic workflows that have materially shortened model release cycles, and trialling enterprise LLM tooling for internal research and client-facing analytics.
    • Write production code that powers scenario analyses and bespoke client engagements; partner with Head of Product on roadmap and releases.
    • Manage a cross-functional team of modellers, economists, data scientists and engineers.
  • Dec 2023 - Feb 2025

    London, UK

    Senior Climate Risk Modeller
    Sillion
    • Led development of climate risk models for FTSE100 / FTSE250 clients, integrating results into TPT and CSRD reporting and into annual reports across SECR, TCFD/ISSB, CDP and GRI frameworks.
    • Built systems to quantify earnings-at-risk under multiple scenarios; provided scenario analyses, transition risk assessments and double materiality insights.
    • Built the firm’s first transition-planning dashboard combining economic and climate models, supporting client reporting under TPT, CSRD and CSDDD.
    • Product Lead for an ESG research tool tracking KPIs across 600+ companies; integrated outputs into Power BI, Tableau and Excel workflows.
    • Drove business growth and recurring contracts via professional networks and strategic partnerships; presented to C-suite, boards and press; trained in press and media handling.
    • Built Python-based risk models that integrated directly into financial dashboards.
    • Managed and mentored junior analysts and consultants, aligning their work with strategic goals in climate risk and sustainability.
    • Featured by the British Science Association as part of their Smashing Stereotypes 2025 campaign for my work in STEM and climate.
    • Featured by St Catharine’s College, Cambridge in their Net Zero by 2040 alumni series (Jan 2025).
  • Jun 2022 - Nov 2023

    London, UK

    Net-Zero Data Lead
    Bloomberg L.P. (secondment with GFANZ & Climate Data Utility)
    • Led data modelling and engineering for the Climate Data Utility (formerly the NZDPU), a free climate-transition data platform.
    • Worked for GFANZ to build a climate report model with key stakeholders including Mark Carney (UN Special Envoy at the time).
    • Worked with President Emmanuel Macron, the governments of Switzerland and Singapore, CDP, UNFCCC, and other global organisations.
    • Managed a team of 40 analysts for GFANZ’s data launch at COP27.
    • Built ETL pipelines and APIs ingesting data across hundreds of providers; wrote transformation scripts and data acquisition workflows.
    • Co-authored two reports for GFANZ and NZDPU with partners from ISSB and IEA.
    • Helped secure the CDP partnership bringing 10,000+ companies onto the platform.
    • Supported the CTO on RFP processes, vendor evaluation and management of engineering contractors; helped author the NZDPU RFP.
    • Delivered briefs on 700 climate KPIs used in Michael Bloomberg’s keynote address for COP27.
    • Subject-matter expert on Scope 1, 2 and 3 GHG emission models, global reporting standards and jurisdictional policies.
  • Oct 2021 - Jun 2022

    Cambridge, UK

    Climate Science Researcher
    University of Cambridge & British Antarctic Survey
    • Fully-funded research at the Scott Polar Research Institute on atmospheric drivers of Antarctic surface melt.
    • Analysed 1.7 billion geospatial data points across CMIP5 GCMs, RCMs and in-situ observations from NOAA and Copernicus (ESA).
    • Developed a Convolutional Neural Network and ran EOF analysis to identify seasonal melt patterns; published findings and presented at conferences.
    • Tech stack: Python, xarray, pandas/geopandas, scipy, pyproj, netCDF, HDF5, rasterio, GDAL, Shapely, sklearn, EOF, fiona, plotly, cartopy, matplotlib.
    • Featured on Cambridge’s official channels; my work is used as course material in MPhil-level teaching.
    • Supervised by Dr Amélie Kirchgaessner (British Antarctic Survey) and Professor Ian Willis (Scott Polar Research Institute).
  • Sep 2018 - Oct 2021

    Vancouver, Canada

    Brand Manager, Sustainability
    P.G.A. Hospitality
    • Worked as an independent contractor with the CEO to drive sustainable business development; led a team of 10.
    • Achieved significant growth: increased revenue by 233%, raised CAD 1.5M in investment, increased profits by 31%.
    • Proactively secured contracts with local, sustainable suppliers to mitigate supply chain challenges during the pandemic.
    • Developed business plans, marketing materials and seasonal menus.
    • Wrote and won an RFP bid for a new location.
    • Earned 9 awards and a position in Greater Vancouver’s Top 30 cafes.
  • Dec 2016 - Jun 2020

    Vancouver, Canada

    Lead Teaching Assistant, Computer Science
    University of British Columbia
    • Managed a team of 18 TAs as Head Teaching Assistant of Computer Science.
    • Ran labs and lectures for 1,000 students in Python and C++; created and graded course modules and labs; awarded Best TA three years running.
    • Helped pilot a new data science course; authored modules on Climate Data Computing and contrast stretching using open-source satellite imagery.
  • Dec 2016 - May 2020

    Vancouver, Canada

    Research Assistant, Atmospheric Science
    University of British Columbia
    • Worked across multiple research labs in the Earth, Ocean and Atmospheric Sciences department.
    • Studied glacial katabatic winds and cloud-street formation over Greenland using MODIS, GOES-16/17 and Landsat 7/8 imagery and ECMWF reanalysis data.
    • Built ETL pipelines on AWS EC2/S3; ran GOES data via Jupyter notebooks on EC2 instances pulling from NOAA’s S3 bucket.
    • Applied PCA, Sobel edge detection, Self-Organizing Maps and CNNs to mesoscale convection problems and melt-season streamflow detection across Canada.
    • Conducted eddy-covariance measurements during the Buckley Bay wildfires; tested diffused-radiation fertilization against NASA AOD data (contributed to McKendry et al., 2019).
    • Collected, identified and analysed phytoplankton in the Burrard Inlet; studied distribution, chlorophyll levels and carbon-sink role.
    • Constructed and set up weather sensors to study blue carbon and the urban heat island effect; trained on calibrating and maintaining meteorological field instruments to WMO standards.
  • Jul 2018 - Sep 2019

    Vancouver, Canada

    Geospatial Engineer
    UAViation Aerial Solutions
    • Team Lead for the software team responsible for flight-automation app development.
    • Project Lead on LiDAR drone mapping operations and GIS post-processing across BC, Alberta and Yukon.
    • CEO’s right hand in client meetings; my work contributed to a successful exit (acquired by Volatus Aerospace).
    • Worked with Android Studio, REST APIs, Google Maps API and DJI’s UX SDK; used Pix4D, ArcGIS and QGIS for geospatial post-processing.
    • Used C++, Java and Python to tackle photogrammetry and LiDAR flight-mapping problems.
    • Delivered 18 projects in 12 months for government, search-and-rescue, BC Wildfire Services, natural resource sectors, academia and private industry.
  • Aug 2024 - Feb 2026

    Remote

    Board Member, Revenue Generation
    Compassionate Eye Foundation
    • Serve on the board of a global charity to develop and deliver a revenue generation strategy aligned with CEF’s long-term vision.
    • Help build strategy to deliver projects supporting the UN Sustainable Development Goals and improve standard and cost of living at a grassroots level.
    • Research, identify and apply for grants, trusts and major funding opportunities.
    • Build and maintain relationships with key donors, corporate sponsors and stakeholders.
    • Explore new revenue streams; work closely with communications and project teams to support funding applications.
  • Oct 2021 - Mar 2023

    Cambridge, UK

    Co-Organiser & DEI Lead
    Polar Impact
    • Co-ran an NGO supporting BIPOC professionals in the polar research community.
    • Helped write grant proposals that won a cumulative £50,000 from the National Science Foundation, UKRI and National Geographic.
    • Organised COP26 climate-justice speaker panels.
    • Featured in St Catharine’s College alumni publications for this work.

Education

  • 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: investigating atmospheric drivers of surface melt on the George VI Ice Shelf, Antarctica, over 32 years; analysed up to 1,734,576,480 geospatial data points; built a CNN and EOF analysis to predict clustered weather patterns influencing melt.
  • 2015 - 2020

    Vancouver, Canada

    BSc in Atmospheric Science
    University of British Columbia
    • Graduated top of class.
    • Dean’s Honour Roll (2017, 2018, 2019, 2020).
    • Ministry of Education and BC Excellence Scholarships (top 10% of students starting post-secondary education in British Columbia).
    • Undergraduate thesis (score 93%): significance of glacial katabatic winds on cloud formation over Greenland, using MODIS, Landsat 7/8 and GOES-16/17 imagery, image clustering, PCA, Sobel edge detection, neural networks and Self-Organizing Maps. Supervised by Dr Ian McKendry.

Skills

Software Engineering: Python, SQL, C++, Git, CI/CD, Docker, REST APIs, testing
Cloud & Data: Google Cloud (BigQuery), AWS (EC2, S3), Power BI, Tableau
Applied AI: LangSmith, LangGraph, agentic workflows, Gemini (Vertex AI, NotebookLM), CNNs, PCA, EOFs
Climate Modelling: CMIP5/CMIP6, bias correction, downscaling, RCP & SSP scenarios, Scope 1/2/3 accounting
Geospatial: xarray, geopandas, rasterio, GDAL, netCDF/GRIB/HDF5, satellite imagery (MODIS, GOES, Landsat, Copernicus), Google Earth Engine
Risk & Disclosure: Physical, transition and supply-chain risk, earnings-at-risk, double materiality, TPT, CSRD, CSDDD, TCFD/ISSB, TNFD, SECR, GRI, CDP
Leadership: Team Lead managing modellers, scientists and engineers, product strategy, trusted advisor to C-suite, boards and government stakeholders

Awards

  • 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.

  • 2020
    Dean's Honour Roll (4 consecutive years)
    University of British Columbia

    Awarded for scoring above 85% — 2017, 2018, 2019, 2020.

  • 2020
    Best Teaching Assistant Award (3 consecutive years)
    University of British Columbia

    Awarded 2018, 2019, 2020.

  • 2016
    Ministry of Education Scholarship
    Government of Canada

    Top 25% of students starting post-secondary education in Canada.

  • 2016
    BC Excellence Scholarship
    Government of British Columbia

    Top 10% of students starting post-secondary education in British Columbia.

  • 2015
    Western University Entrance Scholarship
    Western University
  • 2015
    Bronze Medal — Canadian National Science Fair
    Youth Science Canada
  • 2015
    Gold Medal — Vancouver Provincial Science Fair
    Greater Vancouver Regional Science Fair
  • 2015
    Chief Judge Award — Vancouver Provincial Science Fair
    Greater Vancouver Regional Science Fair
  • 2015
    UBC Engineering Physics Award — Vancouver Provincial Science Fair
    University of British Columbia
  • 2014
    Top 25 — Pascal Mathematics Contest
    Centre for Education in Mathematics and Computing

Projects

  • 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.

    • Tech stack: Python, xarray, rasterio, GDAL, geopandas, fiona, shapely, pyproj, scipy, sklearn, eofs, cartopy, matplotlib.
    • Supervised by Professor Ian Willis (Scott Polar Research Institute) and Dr Amélie Kirchgaessner (British Antarctic Survey).
  • Undergraduate Thesis — University of British Columbia

    Studied the significance of glacial katabatic winds on cloud formation over Greenland. Used MODIS, Landsat 7/8 and GOES-16/17 imagery, image clustering, Principal Component Analysis (PCA), Sobel edge detection, a custom neural network, and Self-Organizing Maps to detect mesoscale cellular convection. Final score 93%. Supervised by Dr Ian McKendry.

  • 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.

  • AWS-Hosted GOES Cloud Computing Pipeline

    Built ETL pipelines on AWS EC2 servers and virtual platforms 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.

  • 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.

  • 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.

Publications

Certificates