Data Scientist - Fraud Analysis

Straive; San Francisco (CA); Hybride; USD 120 000 - 170 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Health benefits

Continuous learning opportunities

Résumé du poste

Straive in San Francisco, CA or New York, NY is seeking a Fraud Analytics professional for a hybrid, full-time role. You will identify and mitigate fraudulent activities, develop models, and produce insights for leadership.

The position requires strong data analytics skills and experience in fraud prevention across merchant, first-party, and digital fraud. You will work with Risk, Operations, and Compliance to strengthen the fraud prevention ecosystem and stay ahead of regulatory changes and

Qualifications

• 3+ years of data analytics experience in fraud prevention or risk management.
• Experience with fraud mitigation across merchant, first-party and digital fraud.
• Strong data-driven approach and regulatory awareness.

Responsabilités

• Identify, investigate, and mitigate fraudulent activities using advanced data methodologies.
• Conduct fraud assessments and generate rules/reports on evolving trends.
• Develop proactive strategies and statistical models to prevent future fraud.
• Design and implement fraud rules within workflow systems and build monitoring reports.
• Generate high-impact reports for management outlining risks and mitigations.
• Collaborate with Risk, Operations, and Compliance to strengthen fraud prevention.

Formation

Bachelor’s degree in Engineering, Technology, Computer Science, or related quantitative field

Outils

Python

SQL

Description du poste

Location: San Francisco, CA or New York ( Hybrid)

Job Type: Full-Time

Roles and Responsibilities

As a member of the Fraud Analytics team, you will be responsible for identifying, investigating, and mitigating fraudulent activities using advanced data methodologies.

• Fraud Assessment: Conduct in-depth assessments and generate fraud rules/reports on evolving trends, including Merchant Fraud, first-party, and third-party fraud.
• Strategy & Modeling: Investigate suspicious transactions to determine root causes. Develop proactive strategies and statistical models to prevent future occurrences.
• System Development: Design and implement fraud rules within workflow systems and build comprehensive monitoring reports for ongoing fraud events.
• Stakeholder Management: Generate high-impact reports and presentations for management, outlining risks, incidents, and effective mitigation strategies.
• Cross-Functional Collaboration: Partner with Risk, Operations, and Compliance teams to strengthen the overall fraud prevention ecosystem.
• Market Intelligence: Stay ahead of industry trends, regulatory shifts, and global best practices to continuously refine fraud prevention strategies.

Technical & Professional Skills

• Domain Expertise: Proven experience in Fraud Mitigation, First-Party Fraud, Transactional Fraud, Merchant Fraud, and Digital Fraud Detection.
• Technical Stack: Proficiency in Python and SQL for data manipulation and analysis.
• Analytical Rigour: Familiarity with fraud detection software, risk assessment methodologies, and regulatory compliance standards.
• Communication: Ability to distill complex data insights into clear, concise, and actionable presentations for leadership.
• Mindset: Detail-oriented with a proactive approach to problem-solving and a strong collaborative spirit for cross-functional success.

Qualifications

• Education: Bachelor’s degree in Engineering, Technology, Computer Science, or a related quantitative field.
• Experience: 3+ years of dedicated data analytics experience specifically within fraud prevention or risk management.

What We Offer

• Competitive salary and performance-based bonus plan.
• Health, dental, and wellness benefits.
• Continuous learning opportunities in modern AI and cloud-based financial platforms.
• Collaborative and growth-oriented work environment.