About

An operator's practice, not a framework shop

Signalpine Analytics is an Oakland-based consultancy founded on six years of hands-on fraud and risk work across global banking, cryptocurrency exchanges, and U.S. fintech.

That path covered the full arc of financial risk: KYC and AML work inside global banks, fraud detection at a cryptocurrency exchange where patterns moved by the hour, and risk analytics at a U.S. fintech — building detection logic on live transaction data, validating the metrics executives rely on, and correcting loss calculations that changed how teams understood their own risk.

The name reflects the work. Fraud rarely announces itself; it hides as one anomalous point in a stream of ordinary events. Finding it takes both the analytical rigor to process the noise and the domain judgment to know which signal matters. That combination — rigor plus judgment — is what Signalpine brings to every engagement.

We stay deliberately small. You work directly with the person doing the analysis, findings come in the language your risk, product, and compliance teams already speak, and every deliverable is built so your team can run it without us.

6+ yearsin fraud & risk analytics
Banking · Crypto · Fintechdomain experience across three industries
SQL · Python · MLgradient-boosted models, validated metrics
M.S. Business AnalyticsUniversity of Southern California

What we believe

PRINCIPLE 01

Numbers you can defend

A metric is only useful if it survives scrutiny. We validate before we report, and document how every number was made.

PRINCIPLE 02

Grounded in real behavior

Fraud strategy built from how fraud actually behaves in your data — not from a generic framework applied to everyone.

PRINCIPLE 03

Built to hand off

The engagement ends, the capability stays. Documentation and artifacts your team can own from day one.

Work with us

Engagements start with a 30-minute conversation about the problem you're seeing.

Get in touch