B9 · 14 hours ago
Lead, Business Monitoring & Anomaly Detection (Hands-on)
United States
Full-time
Remote
Senior Level, Lead/Staff
3+ years expB9 is seeking a hands-on Lead to establish a company-wide monitoring and anomaly detection function. The role involves defining key business and risk metrics, implementing continuous monitoring and alerting, and coordinating cross-functional responses to detect abnormal behaviors such as fraud and operational issues.
Information Technology
Responsibilities
Define monitoring strategy and KPI system: identify critical business and risk metrics across the funnel (acquisition, activation, retention, payments, credit/loans, support, etc.)
Build anomaly detection and alerting: set thresholds, baselines, seasonality-aware rules, and anomaly models where appropriate; reduce false positives/negatives over time
Anti-fraud and risk monitoring: design and maintain dashboards and alerts for fraud patterns, suspicious user behavior, chargebacks/disputes, account takeover indicators, synthetic identity signals, and other abuse vectors
Operational and reliability monitoring (as needed): partner with engineering to incorporate key technical signals that directly impact business
Create monitoring playbooks: define severity levels, investigation steps, escalation paths, and ownership (who acts, how quickly, and what “done” means)
Root cause and post-incident analysis: conduct investigations, quantify impact, and implement prevention/early-warning improvements
Stakeholder alignment: run regular reviews with Product/Risk/Ops/Engineering, iterate on metrics, and prioritize the monitoring backlog
Documentation & governance: maintain a “single source of truth” for definitions, formulas, and alert logic
Qualification
Required
3+ years in data analytics, risk/fraud analytics, product analytics, business intelligence, or monitoring/observability roles
Strong ability to translate business processes into measurable metrics and signals
Hands-on experience with dashboards and reporting (Power BI / Grafana / Azure App Insights)
Strong SQL; comfortable working with large datasets and building repeatable metric pipelines
Understanding of anomaly detection
Strong communication skills: you can explain 'what happened, why it matters, what we do next' to both technical and non-technical teams
Preferred
Experience in fintech/payments/lending and fraud/abuse prevention
Experience with event-based architectures and monitoring operational signals (queues, webhooks, vendor APIs)
Familiarity with experimentation metrics, funnel analytics, cohort analysis
Python skills for analytics, detection logic, and automation
Company
B9
B9 runs a payroll disbursement platform enabling on-demand pay for working Americans
51-200 employees
H1B Sponsorship
B9 has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6)
2022 (2)
Funding
Current Stage
Growth StageTotal Funding
$11.15MKey Investors
Sky Light InvestSergio Terentev
2022-07-29Seed· $2.6M
2022-01-30Seed· $0.5M
2021-10-12Seed· $5M
Leadership Team
Mikhail Matveev
Chief Data Officer & Chief Technology Officer
Recent News
skylightinvest.ae
2024-11-29
Company data provided by crunchbase