Fraud Data Analyst

Vintti is a forward-thinking staffing agency at the forefront of global talent solutions. We specialize in connecting US-based SMBs, startups, and firms with highly skilled professionals from Latin America. Our innovative approach breaks down geographical barriers, allowing businesses to tap into a rich pool of diverse talent while offering Latin American professionals access to exciting international career opportunities. Vintti builds bridges across continents, fostering cultural exchange and driving business growth through strategic staffing solutions.

A Fraud Data Analyst is a specialized professional responsible for analyzing and interpreting data to detect potentially fraudulent activities. This role involves meticulous examination of transactions, patterns, and trends to identify anomalies and suspicious behavior. Utilizing various data analysis tools, the Fraud Data Analyst compiles comprehensive reports and collaborates with cross-functional teams to develop strategies for fraud prevention and risk mitigation. Their expertise plays a crucial role in safeguarding the organization from financial losses, ensuring compliance with relevant regulations, and enhancing overall security protocols.

- Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Finance, or related field.
- Minimum of 3 years of experience in data analysis, preferably in fraud detection or a related area.
- Proficiency in SQL for data querying and manipulation.
- Experience with data analysis tools such as Python, R, SAS, or similar.
- Strong understanding of data modeling and statistical techniques.
- Familiarity with machine learning algorithms and their applications in fraud detection.
- Experience with data visualization tools like Tableau, Power BI, or similar.
- Knowledge of financial transactions and payment processing systems.
- Excellent problem-solving and analytical skills.
- Strong attention to detail and accuracy.
- Ability to handle and analyze large datasets efficiently.
- Strong communication skills, both written and verbal, for conveying technical information to non-technical stakeholders.
- Ability to work independently and as part of a collaborative team.
- Familiarity with fraud detection systems and tools.
- Experience in conducting risk assessments and identifying potential threats.
- Ability to stay informed on industry trends and incorporate new methodologies accordingly.
- Strong organizational skills and ability to manage multiple tasks simultaneously.
- Experience in developing policies and procedures related to fraud risk mitigation.
- Certification in fraud examination (e.g., CFE) is a plus.
- Experience with real-time transaction monitoring systems is a plus.

- Analyze large datasets to identify potential fraudulent activities and patterns.
- Develop and implement data models and algorithms to detect fraud.
- Monitor real-time transactions to flag and prevent possible fraudulent actions.
- Collaborate with other departments to gather necessary data and insights.
- Conduct detailed investigations and generate reports on identified fraud cases.
- Maintain and update fraud detection tools and systems regularly.
- Interpret and communicate complex data findings to non-technical stakeholders.
- Recommend enhancements to current analysis and prevention methods.
- Stay informed on the latest fraud trends and schemes through continuous learning and research.
- Develop dashboards and visualizations to summarize key fraud metrics.
- Ensure data quality by cleaning and preprocessing raw data for analysis.
- Work with IT and software development teams to integrate and optimize fraud detection technologies.
- Provide training and guidance to junior analysts on best practices for fraud detection.
- Respond to ad hoc requests for fraud analysis from management or other stakeholders.
- Perform root cause analysis for false positive and negative alerts.
- Participate in regular team meetings to discuss ongoing cases and strategies.
- Document findings and maintain accurate records of all investigations.
- Conduct risk assessments to identify new potential threats and vulnerabilities.
- Assist with the development of policies and procedures to mitigate fraud risk.

The ideal candidate for the role of Fraud Data Analyst is a highly skilled and experienced professional with a minimum of three years in data analysis, specifically in fraud detection. They possess a Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Finance, or a related field, and are proficient in SQL, Python, R, SAS, or similar tools for data querying and analysis. With a solid understanding of data modeling, statistical techniques, and machine learning algorithms, they can efficiently analyze large datasets to identify fraudulent activities and patterns. The candidate excels in using data visualization tools like Tableau or Power BI to communicate complex data findings to non-technical stakeholders clearly. Their familiarity with financial transactions, payment processing systems, and fraud detection systems ensures they can monitor real-time transactions and develop effective data models. They are proactive, self-motivated, detail-oriented, and have excellent problem-solving skills, allowing them to conduct thorough investigations, generate reports, and recommend enhancements to fraud prevention methods. Furthermore, the ideal candidate is a collaborative team player with strong communication skills, capable of working across multiple departments. They are committed to continuous learning, stay updated on industry trends, and are adaptable in a fast-paced environment. High levels of integrity, ethical standards, and organizational skills are paramount, along with the ability to manage and prioritize tasks efficiently. Their experience in conducting risk assessments, developing policies, mentoring junior analysts, and potentially holding a certification in fraud examination (e.g., CFE) sets them apart as a reliable and responsible addition to the team.

- Analyze large datasets to identify potential fraudulent activities and patterns.
- Develop and implement data models and algorithms to detect fraud.
- Monitor real-time transactions to flag and prevent possible fraudulent actions.
- Collaborate with other departments to gather necessary data and insights.
- Conduct detailed investigations and generate reports on identified fraud cases.
- Maintain and update fraud detection tools and systems regularly.
- Interpret and communicate complex data findings to non-technical stakeholders.
- Recommend enhancements to current analysis and prevention methods.
- Stay informed on the latest fraud trends and schemes through continuous learning and research.
- Develop dashboards and visualizations to summarize key fraud metrics.
- Ensure data quality by cleaning and preprocessing raw data for analysis.
- Work with IT and software development teams to integrate and optimize fraud detection technologies.
- Provide training and guidance to junior analysts on best practices for fraud detection.
- Respond to ad hoc requests for fraud analysis from management or other stakeholders.
- Perform root cause analysis for false positive and negative alerts.
- Participate in regular team meetings to discuss ongoing cases and strategies.
- Document findings and maintain accurate records of all investigations.
- Conduct risk assessments to identify new potential threats and vulnerabilities.
- Assist with the development of policies and procedures to mitigate fraud risk.

- Detail-oriented with a keen eye for identifying anomalies and patterns
- Proactive and self-motivated with a strong drive for continuous improvement
- Excellent problem-solving skills with a methodical and logical approach
- Strong analytical mindset with the ability to interpret complex data
- High level of integrity and ethical standards in handling sensitive information
- Effective communicator, both verbally and in writing, to relay technical findings to non-technical stakeholders
- Collaborative team player with the ability to work across multiple departments
- Adaptable and flexible in a fast-paced, ever-changing environment
- Innovative thinker with a passion for staying updated on industry trends and new technologies
- Highly organized with the ability to manage and prioritize multiple tasks efficiently
- Strong technical aptitude with a deep understanding of data analysis tools and techniques
- Commitment to continuous learning and professional development
- Ability to remain calm and focused under pressure
- Strong leadership qualities for mentoring and training junior analysts
- Reliable and responsible with excellent follow-through on tasks and deadlines

- Competitive salary range of $70,000 to $100,000 per year
- Comprehensive health, dental, and vision insurance plans
- 401(k) retirement plan with company match
- Generous paid time off (PTO) policy including vacation, sick leave, and holidays
- Flexible work hours and remote work options
- Professional development opportunities and continuous learning
- Tuition reimbursement for relevant courses and certifications
- Access to modern workplace tools and technologies
- Employee wellness programs and fitness reimbursements
- Life and disability insurance
- Employee assistance programs for mental health and well-being
- Commuter benefits and transportation reimbursements
- Collaborative and dynamic work environment
- Opportunities for internal career advancement and promotions
- Mentorship and coaching programs
- Company-sponsored events and team-building activities
- Recognition and rewards programs for outstanding performance
- Childcare assistance programs
- Friendly and inclusive company culture