xAI: Develops advanced artificial intelligence systems to understand the universe.
2+ YOERequires 2+ years in fraud investigation, operations, or risk management in financial services or fintech; BSA/AML, OFAC, transaction monitoring, analytical, and communication skills required.
IntuitNASDAQ: INTU: Provides financial software for accounting, tax, and personal finance.
6+ YOEBachelor’s degree in a quantitative discipline, 6+ years of fraud risk analytics and management experience, risk modeling expertise, strong analytical and communication skills, and proficiency with SQL, SAS, Python, R, and Tableau.
WealthfrontNasdaq: WLTH: Automated wealth management and high-yield cash account platform.
1+ YOE1–3 years fraud investigations experience in financial services; strong research and investigative skills; experience with Wire/ACH/debit card/OATO/identity theft/new account fraud; excellent communication and cross-functional collaboration.
Mountain View or Mountain View or California or United States
$200k-$270k/yrOnsiteFull Time
IntuitNASDAQ: INTU: Provides financial software for accounting, tax, and personal finance.
7+ YOEMS or PhD in a quantitative field and 7+ years in fraud analytics, credit risk, or data science. Requires ML/statistical modeling, SQL, Python, data visualization, and lending or fintech experience.
IntuitNASDAQ: INTU: Provides financial software for accounting, tax, and personal finance.
10+ YOE10+ years in policy development and risk/data analytics for fintech; expertise in Python/R/SAS/SQL, BI tools (Tableau, QuickSight, Databricks), cross-functional leadership, undergraduate degree required; advanced degree preferred.
United States or San Jose or Draper or New York City or Seattle or Los Angeles County or Massachusetts or Austin or Utah or Dallas or Houston or Florida or North Carolina or Illinois or Colorado or Arizona or Georgia or Oregon or Pennsylvania
$135k-$191k/yrHybridFull Time
BILLNYSE: BILL: Automated financial operations software for small and midsize businesses.
8+ YOEBachelor's degree in a technical field and 8 years of analytics or data science experience, or 5+ years with a master's degree. Requires SQL pipeline engineering, BI tools, risk and fraud data, and insight presentation.
5+ YOEBachelor's degree or equivalent experience; 5 years in anti-abuse and data analysis; programming experience in SQL, Python, or Golang; expertise in fraud, security, threat analysis, and ML models preferred.