Fraud Data Analyst

Job Description

We are seeking a detailed-oriented Fraud Data Analyst to join our team. This role involves analyzing large datasets, detecting fraudulent activities, and collaborating with various teams to enhance our fraud prevention strategies. Your expertise will be essential in identifying patterns and providing actionable insights to safeguard our financial operations.

Responsibilities

• Evaluate and refine fraud detection algorithms to improve accuracy and efficiency.
• Engage with various departments to promote fraud prevention awareness.
• Monitor ongoing fraud trends to adjust detection strategies accordingly.
• Assist in training internal teams on fraud detection best practices.

Requirements

Education

• Bachelor's degree in a related field
• Master's degree in Statistics or Data Science is a plus

Experience

• 3+ years of experience in data analysis with a focus on fraud detection

Technical Skills

• Python
• Fraud Detection Software

Soft Skills

• Critical Thinking
• Presentation Skills

Languages

• English: Fluent

Advantageous

• Knowledge of Regulatory Requirements: Understanding of legal aspects and compliance issues related to fraud prevention.
• Experience with Data Mining Techniques: Familiarity with methods and tools used in data mining.

Benefits

• Competitive salary with performance bonuses
• Health, dental, and vision insurance
• 401(k) with company match
• Flexible work hours and remote options
• Professional development opportunities

Company Culture

• Inclusive Environment: We foster a work environment that values diversity and inclusion.
• Innovative Thinking: Our team encourages creativity and innovative solutions to problems.
• Continuous Growth: We offer numerous opportunities for personal and professional growth.