Fraud Analyst

Saragossa; Palo Alto (CA); On-site; USD 80,000 - 120,000; Full time

Job summary

A leading AI startup in Palo Alto is seeking an Associate Consultant to protect their developer platform. You'll analyze data with SQL and Python, partner with engineering and product teams, and influence strategy to combat suspicious activities. The ideal candidate has experience in data analysis and strong communication skills. This role offers an exciting opportunity to shape how we build trust in AI products.

Qualifications

• Experience with SQL and Python for data analysis.
• Ability to communicate findings across technical and non-technical stakeholders.

Responsibilities

• Collaborate with engineering, product, and risk teams to respond to suspicious activity.
• Analyze data patterns to influence strategy and protect revenue.
• Work with SQL and Python to analyze millions of events.
• Guide conversations on activity classification.

Skills

SQL

Python

Data Analysis

Communication

Job description

Overview

Associate Consultant at Saragossa – Creating competitive advantage for investment technology organizations.

Think of a Fraud Data Analyst as a digital investigator, part pattern hunter, part problem solver, part guardian of trust for a high growth platform. You know that rush when you catch something everyone else missed? That instinct is exactly what we’re looking for. At this AI startup, you’ll be on the front lines of protecting a developer AI platform used by thousands. This isn’t just about stopping bad actors, it’s about building trust into the very core of a product developers depend on daily.

You’ll partner closely with engineering, product, and risk teams to identify, investigate, and respond to suspicious activity before it impacts the business. Your insights won’t just surface anomalies, they’ll influence strategy, protect revenue, and help shape how we fight abuse at scale.

Apply Now!

No up-to-date resume required.

Responsibilities

• Collaborate with engineering, product, and risk teams to identify, investigate, and respond to suspicious activity before it impacts the business.
• Analyze data patterns and anomalies to surface insights that influence strategy and protect revenue.
• Work with SQL and Python to comb through millions of events to uncover hidden patterns.
• Guide conversations across teams about what constitutes "good" and "bad" activity and how to act fast without disrupting legitimate users.

Qualifications

• Experience with SQL and Python for data analysis.
• Ability to communicate findings across technical and non-technical stakeholders.