Remote Senior Fraud Intelligence Analyst — ML-Driven Risk

Ladders; United States; À distance; USD 125 000 - 145 000; Plein temps

Avantages offerts par ce poste

Medical benefits

Dental benefits

Vision benefits

Stock options

Paid time off

401(k) plan guidance

Résumé du poste

Ladders is seeking a Senior Analyst, Fraud Intelligence to uncover fraud signals across large data environments and translate findings into practical mitigations. You will partner with machine learning, operations, and stakeholders to strengthen risk controls in a remote role within the United States.

This position blends hands-on data analysis with strategic input on monitoring frameworks, review processes, and model features.

Qualifications

• 3+ years of experience in fraud analytics, preferably in e-commerce or retail.
• Bachelor's degree in Mathematics, Statistics, or Computer Science.
• Strong understanding of data science concepts, including statistical analysis and modeling.
• Proficiency in SQL and experience with Python libraries such as pandas, NumPy, and scikit-learn.
• Exceptional communication skills with a proven ability to influence cross-functional teams.
• Experience with automated decisioning systems is a plus.
• High attention to detail and strong intellectual curiosity.

Responsabilités

• Analyze large-scale data to identify fraud and abuse signals.
• Rapidly identify actionable insights and analyze fraud patterns.
• Develop monitoring frameworks and mitigation solutions for emerging fraud threats.
• Evaluate AI review agent case summaries and improve workflows based on findings.
• Collaborate with the Machine Learning team to recommend model features.
• Participate in design and code reviews, mentoring junior analysts.

Connaissances

Fraud analytics

SQL

Python

Data science concepts

Communication

Decisioning systems

Formation

Bachelor's in quantitative field

Outils

Pandas

NumPy

scikit-learn

Description du poste

Ladders is seeking a Senior Analyst, Fraud Intelligence to uncover fraud signals across large data environments and translate findings into practical mitigations. You will partner with machine learning, operations, and stakeholders to strengthen risk controls in a remote role within the United States.

This position blends hands-on data analysis with strategic input on monitoring frameworks, review processes, and model features.