Data Science Analyst (Fraud Strategy)

Tiger Analytics is seeking a dynamic Data Science Analyst to join our innovative team focused on Fraud Strategy. In this role, you'll leverage advanced analytics and machine learning techniques to identify fraudulent activities, enhance fraud prevention models, and contribute to strategic decision-making processes. You'll work closely with cross-functional teams to analyze data, develop predictive models, and provide actionable insights that will shape the fraud strategy for our clients.

Key Responsibilities

• Analyze large datasets to identify trends, patterns, and anomalies that indicate potential fraudulent activities.
• Develop and implement machine learning models to improve fraud detection and prevention mechanisms.
• Collaborate with stakeholders to define fraud-related metrics and KPIs, ensuring alignment with business objectives.
• Present findings and recommendations to both technical and non-technical audiences, including executive leadership.
• Continuously monitor and refine fraud detection models, incorporating new data and techniques as needed.
• Support ad-hoc analysis and reports to assist in responding to emerging fraud tactics and strategies.
• Stay up-to-date with industry trends and best practices in fraud detection and prevention.
• Contribute to a culture of data-driven decision making across the organization.

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• 3-6 years of experience in data analysis, preferably within the financial services or fraud management sector.
• Proficiency in data analysis tools and languages, such as Python, R, or SQL.
• Hands-on experience with machine learning techniques, specifically in developing and deploying predictive models.
• Strong analytical thinking and problem-solving skills, coupled with attention to detail.
• Ability to communicate complex findings in a clear and effective manner to diverse audiences.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Knowledge of fraud detection methodologies and best practices is highly desirable.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.