Who We Are
Equarius Risk Analytics is a fintech company focused on accelerating and pricing real time insights of asset level water risk in securities for TFCD disclosures. Our waterBeta factor models allow fund managers to adjust their holdings and engage with the C-suite on water risk management strategies for corporate climate transitioning
Our AI/ML platform provides mainstream financial risk metrics capturing embedded water risk through a volatility risk premium. Our patent-pending learning algorithms were developed with The University of Michigan (UM) and LimnoTech, an environmental services firm. Equarius Risk Analytics has secured an all fields of use license from UM.
Our quantitative analytics and finance team is focused on understanding the impact of water and weather risks on equities in the capital markets. Our data platforms are used to structure indices to integrate water risk in active and passive portfolios, and to inform corporate water risk management.
ERA collaborates with index providers (e.g. MSCI, Limeyard, S-Network Global Indexes), data providers (e.g. CDP, FactSet, Bloomberg), financial asset managers (e.g. Dana Investment Advisors, Credit Suisse, UBS), and non-profit organizations (e.g. WRI, WWF, Ceres) to provide solutions that can align financial metrics with corporate water risk exposures to build resiliency and sustainability.
Connecting operations to financial stability and market premiums
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Equity Water Risk Pricing for Financial Indexing and Climate Transitioning
Value at risk signaling
Since water and weather risk have short term and extreme effects on share prices, value at risk (VaR) metrics are calculated on the security and benchmarked in its GICS industry. Assessment of systemic vs. diversifiable risk impacts.
Financial and economic productivity impacts
Each company's regional asset exposure to water and weather risk is quantified in a financial context (economic productivity, operations) to understand asset intensity and risk management impacts
Resiliency and ESG Valuation
Financial and unstructured data analysis
Groundtruthing of financial risk probabilities is essential to inform asset allocation strategies. Natural language processing (NP) of textual data from mandatory, voluntary and informal disclosures is used to uncover impact value.
waterBeta Factor Investing
Informed decisions for active and passive managers
Company-specific waterBeta serves to understand volatility risk premiums in portfolios, and can be structured to adjust/tilt allocations to uncover alpha in industry verticals. We design, test, and license indices.
Corporate Water Risk Management
Actionable financial intelligence for CRM
Integration of financial market and operational efficiency metrics to help corporations understand risk exposures and inform risk management strategies.
Management and Technical Team
Peter Adriaens PhD PE
Cofounder and CEO
Director, Center for Smart Infrastructure Finance, The University of Michigan
Iulia Mogosanu MBA
Risk management and corporate financials, UniCredit Bank; Huron River Ventures; Amazon; Lurie Commercialization Fund
Tad Slawecki MS
Software Development: VaR analytics; Database architecture design; Python/Java; GIS models; Machine learning
Greg Peterson MS
Cofounder and COO
Operations management and strategic decision-making; Executive VP of LimnoTech
Noemi Barabas, PhD
Python modeling; Multivariate statistics; Big data analytics; Machine learning.
co-Founder of LimnoTech; Past President, Water Environment Federation; 40 years of corporate/public business development
President of LimnoTech; 20 years hydrological modeling expertise; multi-variate statistics; 10 years corporate & public water/climate project development
Vice President, Senior Investment Officer, Bank of Ann Arbor; Equity Research, Wells Capital Mgmt; Equity Analyst, Thomson Horstmann & Bryant
Lydia Miller MBA
Senior Vice President and portfolio specialist at Dana Investment Advisors; portfolio allocation, risk management, and ESG investment strategies