Assistant Manager - Fraud Analytics

Job description / Role

• The Assistant Manager of Fraud Analytics will play a crucial role in developing, implementing, and managing fraud analytics strategies to safeguard the bank against potential risk.
• The ideal candidate will possess a strong blend of technical proficiency, analytical acumen, and a deep understanding of fraud detection and prevention methodologies.
• The role requires expertise in SAS programming language, SQL, and the ability to bridge the gap between technical and business stakeholders.

Key Responsibilities:

Fraud Analytics Development
• Collaborate with cross-functional teams to design and implement fraud detection models, leveraging SAS and SQL.
• Develop, test, and deploy predictive models and algorithms to identify and mitigate fraudulent activities.

Data Analysis and Reporting
• Analyze large datasets to identify patterns, anomalies, and potential fraud indicators.
• Generate insightful reports and dashboards to communicate findings and recommendations to relevant stakeholders.

Technology Proficiency
• Possess a strong command of SAS programming language and SQL for data manipulation, analysis, and reporting.
• Stay updated on the latest developments in fraud detection technologies and recommend innovative solutions.

Cross-Functional Collaboration
• Act as a liaison between technical and non-technical teams, translating business requirements into technical specifications and vice versa.
• Work closely with IT, Risk Management, and other departments to ensure a comprehensive and effective fraud prevention strategy.

EMEA Banking and Financial Services Recruitment
• Model Optimization and Validation
• Continuously monitor and enhance existing fraud detection models for improved accuracy and efficiency.
• Conduct regular model validation exercises to ensure the effectiveness and reliability of fraud analytics solutions.

Risk Assessment
• Assess and analyze potential fraud risks, providing recommendations to strengthen the organization's fraud prevention measures.
• Work with the Risk Management team to develop and implement risk mitigation strategies.

Requirements

Qualifications:
• Bachelor's degree in Statistics, Computer Science, Data Science, or a related field.
• A Master's degree is a plus.
• Proven experience in Fraud Analytics, with a minimum of 5 years in a techno-functional role.
• Proficiency in SAS programming language and SQL is essential.
• Strong analytical and problem-solving skills, with a keen attention to detail.
• Excellent communication and interpersonal skills to effectively collaborate with various stakeholders.
• Knowledge of data visualization tools (e.g., Tableau) is a plus.

About the Company

Building businesses, changing lives

At Tandem, we’ve built a vast network of top-tier professionals across the globe. We empower businesses to thrive by delivering unmatched talent solutions. With our global reach, collaborative approach, and unwavering commitment to excellence, we drive transformative growth and shape exceptional teams.

Who we are.

We are a team of industry experts, driven by a passion for innovation and excellence. We are dedicated to providing unique talent solutions and nurturing collaborative partnerships that redefine success.