Senior Risk Analyst: Fraud Prevention & Growth (Remote)

Ladders; United States; Remote; USD 167,000 - 197,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

Equity

Bonus eligibility

Job summary

Ladders is seeking a Senior Risk Analyst to strengthen fraud and account protection controls for a high-growth digital financial services environment. Location: Remote in the United States.

You will use data-driven analysis to identify emerging scam patterns, improve reporting, and support decisions that protect large customer populations. This role partners closely with Product, Engineering, and Data Science to scale risk strategies and communicate insights to senior leadership.

Qualifications

• 6+ years of risk experience in e-commerce or financial services.
• 2+ years of data analysis using SQL and Python.
• Proficiency with Tableau or Looker for reporting.
• Ability to independently manage analytics projects while collaborating with cross-functional teams.
• Familiarity with blockchain analytics and cryptocurrency fraud trends.
• Experience using generative AI responsibly for workflow improvements.

Responsibilities

• Own risk controls for account takeover and scam prevention, scaling processes as the business grows.
• Define risk success metrics and build reporting frameworks for continuous improvement.
• Leverage data to assess risk and make impactful decisions for large customer segments.
• Collaborate with Product, Engineering, and Data Science to develop risk management strategies.
• Synthesize data findings into narratives that influence senior leadership decisions.
• Investigate and mitigate fraudulent activities by reviewing alerts on anomalous behavior.

Skills

Risk analysis

Cross-functional collaboration

Blockchain analytics

Generative AI usage

Data storytelling

Tools

SQL

Python

Tableau

Looker

Job description

Ladders is seeking a Senior Risk Analyst to strengthen fraud and account protection controls for a high-growth digital financial services environment. Location: Remote in the United States.

You will use data-driven analysis to identify emerging scam patterns, improve reporting, and support decisions that protect large customer populations. This role partners closely with Product, Engineering, and Data Science to scale risk strategies and communicate insights to senior leadership.