Darrell Day

Strategic finance & infrastructure capital

Darrell J. Day

Strategic-finance and infrastructure-capital professional who builds the models behind capital-allocation decisions in AI compute, high-growth software, and structured credit.

Compute & Infrastructure Finance
SaaS Unit Economics
Structured Credit Risk
Current Work

The Compute Capital Stack →

The Compute Capital Stack is a public model pricing the risk-adjusted cost of compute per million tokens from filings, accelerator-hours, megawatts, and interconnection-queue data. It links token demand to deliverable capacity, take-or-pay structure, power conversion, and Monte Carlo cost cones.

The source base draws on SEC filings, PJM and ERCOT records, and the LBNL Queued Up dataset. The point is not a single headline number; it is the finance bridge from product demand to capacity, delivery risk, contract exposure, and liquidity consequences.

Alongside it: a tax-loss harvesting engine that runs the realize-and-replace decision against a live market, and analytics for the University of Utah student investment fund.

Background

I have five-plus years spanning SaaS unit-economics underwriting and regulated-bank structured credit. The operating pattern is consistent: build the scenario or stress engine, connect it to the governing source data, and turn it into a decision surface for capital allocation, risk appetite, covenant design, liquidity, or portfolio exposure.

Experience
WEBBANK2025 - 2026
Credit & Counterparty Risk Analyst · Salt Lake City, UT
•Owned monthly net real exposure and concentration reporting across a 30+ partner sponsor-bank portfolio and $2B+ capital base, presenting residual exposure, collateral, structural protection, and liquidity impact directly to Chief Risk and Chief Credit leadership.
•Built funded and unfunded loss-coverage models across credit-risk-transfer, secured, and unsecured structures; measured residual exposure after collateral, reserves, and structural protection.
•Monitored warehouse facilities secured by partner loan portfolios, including vintage-pool exposure, collateral waterfalls, borrowing-base requirements, and product-level concentration across Consumer, Purchase Finance, and SMB.
•Stress-tested discount-to-clear and risk-adjusted-margin outcomes under elevated expected loss; owned multi-policy concentration limits, covenant headroom, ECC escalation, and drafted monitored financial covenants.
FAR GRADIENT INC.2024 - Present
Independent Technical Finance Build, Financial Data & Risk Analytics · Salt Lake City, UT
•Built the Compute Capital Stack, a public capital-allocation model pricing deliverability-adjusted cost of compute per million tokens by linking token demand, accelerator-hours, megawatts, interconnection-queue conversion, take-or-pay structure, and Monte Carlo cost cones.
•Automated financial spreading through a counterparty credit workbench with ML-assisted statement extraction, covenant calculations, coverage KPIs, composite risk scoring, source-precedence governance, and MCP-enabled AI-agent tool access.
•Built finance-led scenario and stress-testing engines in Python and Polars with governed source tracking, event logging, source-linked review, and auditable replay.
BILL.COM2021 - 2025
Credit Analyst -> Senior Credit Analyst, Corporate Strategy (promoted 2024) · Salt Lake City, UT
•Built BILL's first enterprise credit-advisory function, owning financial-statement analysis for strategic clients with $20M-$1B+ revenue whose true position was not captured by GAAP alone.
•Underwrote on SaaS-native metrics including liquidity runway, cash-burn rate and burn as percent of ARR, NRR, CAC/LTV, and burn multiples to forecast cash-out dates and right-size limits.
•Served as direct counterpart to client CEOs and CFOs, pressure-testing revenue engines, contract pipelines, and operating models to validate forward claims and surface latent credit capacity.
•Brokered growth-oriented revenue teams and a conservative risk organization across 1,000+ deals; authored 100+ executive exception memos enabling responsible growth without loosening standards.
•Built credit-rating predictors and screening tools adopted by Sales; produced portfolio exposure and loss-forecast analysis by score segment.
Institute of Advanced Investment Management2024 - Present
Fund Manager -> Teaching Assistant (promoted 2025) · Salt Lake City, UT
•Served as Fund Manager for the inaugural roughly $1.1M student fund; authored and won Investment Committee approval for a strategy redeploying roughly $115K, or 10%+ of AUM.
•Built the recommendation on mean-variance optimization, a covariance-estimated risk model, and probability-weighted rate scenarios from CME FedWatch.
•Sole teaching assistant and primary instructor in financial modeling and quantitative methods: DCF, LBO, portfolio construction, factor and risk analysis.
•Directed the build of the fund operating dashboard and performance tracker for portfolio and risk reporting.
Education
University of Utah, David Eccles School of Business2025 - May 2026
Master of Science in Finance
Focus: Financial Engineering, Asset Management, Portfolio Management, Risk Assessment, Private Markets. Selected coursework: PepsiCo/KDP M&A with EPS accretion; Pfizer DCF/comps valuation; PE buyout/LBO under live LOI with FCF forecast and debt-capacity analysis.
University of Utah2024
B.A., Mandarin Chinese
Mandarin Chinese
Brigham Young University2018
Chinese Flagship Program
Chinese Flagship Program
Skills
Compute & Infrastructure Finance
Compute Unit EconomicsCost per Million TokensAccelerator-HoursMegawattsFinancing ModelingCapacity DeliverabilityInterconnection QueuesScenario / Stress Engines
Modeling & Analytics
DCFLBOM&A / AccretionCompsPrecedent TransactionsMean-Variance OptimizationMonte Carlo Stress TestingValuation SensitivityRisk Scoring
Strategic & Corporate Finance
Capital AllocationARRNRRCAC/LTVBurn MultiplesLiquidity RunwayInvestment CasesException MemosRisk AppetiteExecutive Reporting
Credit & Structured Finance
Counterparty CreditABL / Borrowing-BaseWarehouse FinanceNet Real ExposureCollateral WaterfallsLoss-Coverage OffsetsCovenant DraftingLimit Governance
Technical
PythonPolarsSQLClickHouseTypeScriptExcelBloomberg TerminalS&P Capital IQTableauPowerPointAutomated SpreadingLocal LLM / MCP Workflows
Languages
English NativeMandarin Chinese Near-NativeKorean Beginner
Selected Work

Compute Capital Stack. public infrastructure-finance model pricing risk-adjusted cost of compute per million tokens from filings, accelerator-hours, megawatts, and interconnection-queue data.

Counterparty credit workbench. ML-assisted spreading (statement extraction, covenant calculations, coverage KPIs) and a governed review layer, from composite risk scoring through auditable replay.

MSF modeling. PepsiCo/KDP M&A and EPS accretion; Pfizer DCF and comps valuation; PE buyout/LBO under a live LOI with FCF forecast and debt-capacity analysis.

Enterprise SaaS underwriting. ARR, NRR, CAC/LTV, burn multiples, cash-runway forecasting, forward-claim diligence, and risk appetite translation across 1,000+ deal reviews.

Student fund analytics. roughly $115K redeployment recommendation for a $1.1M student fund, grounded in MVO, covariance-estimated risk, and probability-weighted rate scenarios.

Contact

darrell.jday7@gmail.com · +1 (858) 414-4319

↗ Email↗ LinkedIn↗ GitHub