Manager - Fraud Analytics (Banking)

Tiger Analytics is a leading advanced analytics consulting firm, partnering with several Fortune 100 companies to leverage data for creating significant business value. We pride ourselves in our deep expertise in data science, machine learning, and AI, which has earned recognition from notable market research firms, including Forrester and Gartner.

We are seeking a Manager - Fraud Analytics in the Banking sector to join our growing team. This role involves working closely with clients to devise and implement analytics solutions that effectively combat fraud and enhance risk management strategies.

Responsibilities:

• Develop and implement comprehensive fraud detection and prevention analytics strategies tailored to the banking industry.
• Collaborate with client stakeholders to identify and analyze fraud patterns, vulnerabilities, and risk factors.
• Translate client requirements into actionable analytics solution designs and provide clear communication on project scope and deliverables.
• Utilize advanced statistical methods and machine learning algorithms to build predictive models for fraud detection.
• Present findings and recommendations to senior management, emphasizing the value and impact of analytics solutions on client operations.
• Manage end-to-end analytics projects, ensuring timely delivery and adherence to best practices.
• Supervise and mentor team members, fostering a collaborative environment that encourages innovation.

• 5-8 years of professional experience in analytics, with a strong focus on fraud detection and prevention within the banking or financial services industry.
• Hands-on experience with statistical analysis and machine learning techniques relevant to fraud analytics.
• Proficiency in SQL, and experience with data visualization tools such as Tableau or Power BI.
• Ability to engage with senior-level stakeholders, translating complex analytics insights into business strategies.
• Strong project management skills, with experience leading and delivering analytics initiatives.
• Knowledge of regulatory requirements and compliance issues related to fraud and risk management in banking.
• Excellent communication and presentation skills, capable of conveying technical information to non-technical audiences.
• Bachelor’s degree in a quantitative field; a Master's degree in Data Science, Statistics, or a related area is preferred.

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.