The Corporate Racial Equity Score is a rigorous attempt to quantify corporate disparate impact — across 74 industries, eight value-chain stages, and the individual issuers investors actually hold. Its strongest evidence sits in environmental exposure.
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Founder and Executive Director of the Reparations Finance Lab and the Center for Reparations Finance and Practice — financial services nonprofits that engage private capital in reparative investment to address the racial wealth gap for descendants of the transatlantic slave trade globally. Previously an international banker at Merrill Lynch, and worked with economic development agencies within the Government of Jamaica.
LinkedIn →Architect of the Corporate Racial Equity Score methodology and the scoring platform behind it, covering the measurement framework, the federal data mapping across twenty-seven social determinant variables, and the issuer-level scoring engine. Scatterday & Associates co-builds technology with mission-driven organisations and is a named RFL collaborator.
LinkedIn →Climate transition finance specialist working across asset-level decarbonisation modelling and corporate sustainability strategy. At WTW he built the analytical methods behind a Climate Transition Index covering more than 5,000 companies and led decarbonisation consulting for corporate and government clients. Holds an M.Sc. in Nature, Society and Environmental Governance from the University of Oxford.
The Corporate Racial Equity Score quantifies the disparate impact of publicly listed companies on Black Americans. It is, to our knowledge, the first framework to do this at the granularity capital markets require — not a sector-level signal or a governance checklist, but a measured score that attaches to an industry, a value-chain stage, and a named issuer.
Harm is evaluated against the World Health Organization's Social Determinants of Health framework: twenty-seven variables across six domains that together determine how long people live and how well. Each variable is measured on a named federal statistical series with a Black and White breakout, so a disparity is observed rather than asserted.
Where a determinant is spatial — pollution exposure, food and pharmacy access, transport isolation — harm is measured by joining facility and site coordinates to census demographics at the geography where exposure actually occurs. These are the framework's best-evidenced vectors, and they are the ones environmental justice research made measurable.
Every score carries a confidence interval and a published evidence base. Where the evidence does not support a number, the framework declines to produce one — a property we regard as essential rather than inconvenient.
The score is designed to enter existing investment processes at the points where decisions are already made.
Screen and tilt on measured harm intensity rather than disclosure quality. Sits alongside an existing climate or environmental screen using compatible exposure data, rather than requiring a separate process.
Quantify the harm exposure embedded in current holdings, identify where it concentrates by industry and value-chain stage, and rebalance toward lower-harm alternatives within the same exposure.
Track harm intensity as a portfolio metric over time, attribute changes to holdings versus underlying corporate conduct, and evaluate managers on a measured basis.
Give reparative capital commitments a defensible denominator. Every figure traces to a named, vintage-pinned federal source and can be independently reconstructed.
A single harm number collapses distinctions that matter. The WHO Social Determinants of Health framework gives the score a multi-dimensional foundation with standing in public health — established independently of this work, and therefore not designed around a conclusion.
Employment, income, expenses, debt, medical bills, support programmes. Measured through ACS race-iterated tables and HMDA loan-level records.
Housing, transportation, safety, walkability and geographic exposure. Anchored on EPA facility and release registries joined to census block groups — the one domain where exposure is observed directly at the harm site.
Literacy, language, early childhood, vocational and higher education. Attainment measured at tract level; outcomes at institution level.
Social integration, support systems, engagement, discrimination and justice-system contact.
Food security and access to healthy options. Access is a siting question, measured with the same spatial methods used for pollution exposure.
Coverage, provider availability, cultural and linguistic competency, and quality of care.
Each of the twenty-seven variables is scored across eight value-chain stages defined as sets of six-digit NAICS codes. Because federal datasets are NAICS-keyed, a stage's activity level is a database query rather than an analyst's estimate.
Facility registries joined to census demographics support causal attribution rather than correlation — a standard most social determinants cannot meet. The measurement techniques environmental justice research has refined over decades are the ones that make corporate attribution defensible here.
Measuring corporate racial harm and measuring environmental injustice are substantially the same measurement problem, approached from opposite directions.
Four segments, walked end to end on two worked sectors — including one where the framework declines to publish a score, and why that restraint is a feature.
What the Corporate Racial Equity Score measures and why the WHO Social Determinants of Health framework provides a multi-dimensional foundation that a single harm number cannot.
How an observed disparity becomes a defensible attribution — the coefficients, the value-chain conservation rule, and the propagated uncertainty behind every published score.
Working the score into allocation, rebalancing and performance evaluation, including what issuer-level coverage does and does not yet support.
Where the framework goes next, and what measured harm makes possible for institutions committing capital on a reparative basis.
Climate Week NYC 2026. One hour, free, recorded. Registration includes the methodology summary.
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