Senior Fraud Data Analyst

Position Overview:
The Fraud Data Analyst will play a critical role in safeguarding the organization by identifying, analyzing, and mitigating fraudulent activities. This position involves leveraging advanced data analytics, tools, and methodologies to detect patterns of fraud, investigate suspicious activities, and provide actionable insights that drive fraud prevention strategies. The ideal candidate is detail-oriented, highly analytical, and adept at working with large datasets.

Key Responsibilities:

Fraud Detection & Analysis:

• Monitor transactions and activities to identify potential fraudulent behavior.

• Analyze large datasets to detect trends, patterns, and anomalies indicative of fraud.

• Conduct root cause analyses of fraud incidents and recommend measures to prevent recurrence.
   

Risk Assessment & Mitigation:

• Develop and refine models and algorithms to assess fraud risk.

• Assist in implementing fraud prevention tools and strategies.

• Collaborate with internal teams to assess vulnerabilities and mitigate fraud-related risks.
   

Data Management & Reporting:

• Create and maintain dashboards and reports to track fraud trends and key performance indicators (KPIs).

• Present findings and recommendations to stakeholders through clear, actionable insights.

• Maintain and improve databases related to fraud investigations and prevention efforts.
   

Collaboration & Communication:

• Work closely with fraud prevention, compliance, and customer service teams to address and resolve fraud-related issues.

• Provide support during audits and regulatory reviews related to fraud data and metrics.

• Collaborate with IT and data engineering teams to enhance fraud detection capabilities.
   

Process Improvement:

• Continuously identify opportunities to improve fraud detection processes and tools.

• Stay updated on industry trends, emerging threats, and best practices in fraud prevention.

Qualifications:

Education:

• Bachelor’s degree in Data Science, Statistics, Finance, Computer Science, or a related field.

• Advanced degree is a plus.

Experience:

• 2–4 years of experience in fraud detection, data analysis, or a related field.

• Hands-on experience with fraud monitoring systems and tools.

Technical Skills:

• Proficiency in SQL, Python, R, or other data analysis tools.

• Experience with data visualization platforms (e.g., Tableau, Power BI).

• Familiarity with machine learning or predictive analytics is a plus.

Other Skills:

• Strong analytical and problem-solving abilities.

• Excellent communication skills for presenting data-driven insights.

• Ability to work collaboratively in cross-functional teams.

Preferred Qualifications:

• Knowledge of fraud prevention systems and techniques, including payment fraud, account takeover, and identity theft.

• Experience in the financial services, e-commerce, or technology sectors.

Work Environment: 

• Fully remote position.

Why you’ll love us.

• We’ve evolved; we provide three work environment scenarios. You can feel like a Newfolder in a work-from-home, hybrid or work-from-the-office environment.

• Work-life balance. Our work is thrilling and meaningful, but we know balance is key to living well.

• We celebrate one another’s differences.  We’re proud of our culture of diversity and inclusion. We foster a culture of belonging. Our company and customers benefit when employees bring their authentic selves to work. We have programs that bring us together on important issues and provide learning and development opportunities for all employees.  We have 20 + affinity groups where you can network and connect with Newfolders globally.

• We care about you. We provide excellent Health Insurance options to fit you, HSA, Medical, Dental, Vision, Matching 401K, Life/AD&D/STD/LTD, Tuition Reimbursement, Pet Insurance, Generous vacation policy, and much more!

• Where can we take you? We’re fans of helping our employees learn different aspects of the business, be challenged with new tasks, be mentored, and grow their careers. Unfold new possibilities with #teamnewfold!

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