Fraud Data Analytics Senior Manager
Listed on 2026-01-26
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IT/Tech
Data Analyst, Cybersecurity, Data Science Manager, FinTech -
Finance & Banking
FinTech
About the job Fraud Data Analytics Senior Manager
Client Overview:
Our client is partnering with a leading digital bank, committed to revolutionizing the financial industry by delivering innovative and secure, tech-driven banking solutions. This forward-thinking institution focuses on providing a personalized and seamless user experience, making it a leader in digital transformation within the banking sector. Join a team that is shaping the future of modern banking.
Job Purpose:
As a Fraud Data Analytics Senior Manager, you will be responsible for supporting the Anti-Fraud department through advanced analytics, focusing on identifying and preventing fraudulent activities. The role involves assessing user behavior, detecting suspicious activities such as unauthorized access or identity theft, and contributing to the development of fraud prevention strategies. You will work with large volumes of data to spot anomalies and fraud patterns, ensuring the security of banking transactions and customer information.
Key Responsibilities:
- Analyze large datasets to detect fraud-related patterns and suspicious activities in financial transactions and customer behavior.
- Support the development and implementation of fraud prevention strategies and rules.
- Manage and monitor fraud alerts and rules, ensuring effective performance metrics and quality control.
- Collaborate with cross-functional teams to enhance the data usage and improve the anti-fraud process.
Preferred Qualifications:
- Bachelor'7s degree from a recognized institution in a related field.
- 5+ years of experience in fraud data analytics, particularly in retail banking fraud monitoring for card and non-card transactions.
- Proficient in SQL and Python for data analysis.
- Experience with enterprise fraud management systems (e.g., IBM Counter Fraud Management, FICO Falcon, SAS Fraud Management).
- Hands-on experience in fraud detection system configuration and formulating requirements for data and engineering teams.
Technical:
- SQL, Python
- Business Intelligence tools:
Tableau, Looker - Big Query experience is an advantage
Behavioural:
- Strong problem-solving and analytical skills
- Ability to ask difficult questions and drive meaningful solutions
- Team-oriented with a proactive, ownership-driven mindset
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