The FSB, the SEC and FINRA publish my comment letters under my own name.
Consultation responses and rulemaking comments written as a practitioner in model risk and quantitative finance, filed with a global standard-setter and two US market regulators, and published in full on their own sites.
Sound Practices for Responsible Adoption of Artificial Intelligence
Response to the FSB's consultation, published by the G20's financial stability body alongside submissions from JPMorgan Chase, UBS, Visa, Mastercard and the IIF. Names validation capacity risk, the gap between how fast institutions adopt AI and how fast their model oversight can scale, and argues for dynamic oversight escalation triggered by thresholds rather than a static label applied at deployment.
Read the response ↗ August 2026 U.S. Securities and Exchange CommissionFile No. S7-2026-20, the Trade-Through Rule and Regulation NMS
Comment on rescinding Rules 611 and 610(e), taking no position on the rescission itself. The narrow point: the Commission's remedy for crossed markets is to exclude affected orders from Rule 605 execution-quality statistics, which works because crossed markets last about four milliseconds a day. Rule 610(e) is what makes that number small, so the remedy's premise is produced by the rule being removed.
Read on SEC.gov ↗ August 2026 FINRARegulatory Notice 26-14, modernizing Rule 2210
Comment letter on supervising communications that a generative model writes. When a person drafts one message, reviewing the message is a control. When a model drafts ten thousand, the unit of supervision has to move from the message to the model, using the pre-deployment validation, monitoring and independent challenge that model risk management already runs on.
Read on FINRA.org ↗Two op-eds for the people who sign off on the AI budget.
Why does your AI keep getting the numbers wrong?
Most finance AI projects stall on the data, not the model. What the teams getting value out of it design around, and why context limits are a finance problem before they are a technical one.
Read on CFO.com ↗ July 2026 CFO.com3 questions CFOs should answer before the next AI capital approval
A byline on the moment an AI investment stops being a slide and meets an external auditor, and the three questions to settle before you sign off.
Read on CFO.com ↗Four features and counting.
How tech workers at Amazon and Google use AI to save time
On the day-to-day reality of AI at work, beyond the keynote slides.
Read on BI ↗ May 2026 Business InsiderAmazon employees on AI, layoffs, and RTO tracking
Perspective from inside one of tech's biggest transitions.
Read on BI ↗ April 2026 Business InsiderLayoffs, artificial intelligence, and the future of tech jobs
What changes for the people building the systems doing the changing.
Read on BI ↗ March 2026 Business InsiderA day in the life of an Amazon data scientist in Seattle
The personal feature: the commute is short, the models are not.
Read on BI ↗Cutting through the AI-in-finance hype.
Reviewing for the journals.
Invited to referee and review for peer-reviewed journals across derivatives, credit risk, model validation, and machine learning. Each links to the journal itself.
The Journal of Derivatives
Portfolio Management Research; peer-reviewed derivatives research since 1993. The completed review was commended by the Editor-in-Chief.
Journal of Credit Risk
Risk.net / Infopro Digital; peer-reviewed research on credit-risk modelling and management.
Visit journal ↗ Reviewer poolJournal of Risk Model Validation
Risk.net / Infopro Digital; dedicated to the theory and practice of model validation.
Visit journal ↗ Reviewer boardJournal of Risk and Financial Management
MDPI, open access; quantitative risk and financial modelling.
Visit journal ↗ ReviewerFinancial Innovation
Springer, open access; fintech, financial engineering and risk. Currently refereeing a manuscript for the journal.
Visit journal ↗ Reviewer · Ethics trackNeurIPS 2026
The Conference on Neural Information Processing Systems, a leading venue in machine learning.
Visit conference ↗On the page, not just in production.
When finance leaders ask, I answer in print.
Cash flow forecasting methods that deliver accuracy
On forecasting approaches that survive contact with actuals.
Read on CFO Drive ↗ 2025 CFO DriveTechnology investments that transformed finance department effectiveness
Measuring ROI on finance tech, with implementation notes from the field.
Read on CFO Drive ↗ 2025 CFO DriveFinancial metrics for evaluating sustainability and ESG investments
Putting numbers on the investments everyone agrees are important.
Read on CFO Drive ↗11,000+ downloads. 9,300+ views. Zero paywalls.
A complete preparation guide for quantitative finance interviews, co-authored with Mehul Mehta and published open access on Zenodo. From stochastic calculus warm-ups to the behavioral round, written for people who want the offer, not the mystique.
Working on something? I talk to journalists and editors about AI and quant finance.
Agentic AI and model risk, AI governance in regulated finance, derivatives pricing and Monte Carlo methods, Value at Risk and portfolio analytics, volatility and market structure, credit risk modeling, and what it is actually like to ship AI inside a large company. Personal capacity, my own views, fast replies.
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