Fraud Risk & Data Analytics Consulting · Oakland, CA
Find the signal before it becomes a loss.
Signalpine Analytics helps fintech and e-commerce companies detect fraud earlier, monitor transactions with fewer false alarms, and make decisions on data they can trust.
What we do
Four practice areas, one thread: separating genuine behavior from the patterns that cost you money.
Fraud Risk Analytics
Detection strategy, feature engineering, and machine-learning models tuned to your loss tolerance and approval targets.
Transaction Monitoring
Threshold design, alert triage logic, and false-positive reduction that keeps analysts focused on real risk.
KYC / AML Advisory
Onboarding risk scoring, screening workflows, and audit-ready documentation aligned with BSA/AML expectations.
Data Analytics & Insights
SQL and Python pipelines that turn raw transaction data into numbers you can defend in the room.
An operator's practice, not a framework shop
Signalpine Analytics was founded on six years of hands-on fraud and risk work across global banking, cryptocurrency exchanges, and U.S. fintech — detection logic built on live transaction data, metrics validated for the people who rely on them.
Tell us what you're seeing
Unusual chargeback patterns, alert queues that won't shrink, metrics that don't add up — engagements start with a 30-minute conversation about the problem.
Get in touch