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- Support the development and implementation of a comprehensive fraud analytics strategy to identify, assess, and mitigate fraud risks across the organization.
- Design and implement advanced fraud detection models, rules, algorithms and dashboards using big data analytics tools such as Python, Hive, Spark, and Impala.
- Collaborate with various internal and external stakeholders to identify, evaluate and monitor emerging fraud trends and risks.
- Monitor, analyze, and report on fraud-related data to drive continuous improvement in fraud detection and prevention efforts.
- Assist in compliance with applicable laws, regulations, and industry good practices related to fraud prevention and detection by leveraging advanced data analytics techniques and solutions.
- Bachelor's degree in Data Science, Statistics, Finance, or a related field; a Master's degree or relevant professional certifications are a plus.
- Minimum of 7 years of experience in the financial services industry, with at least 4 years in a fraud analytics or risk management role.
- Proven experience in developing and implementing fraud analytics solutions
- Able to instill strong Model Governance throughout the model development cycle.
- Proficiency in data analysis tools and software, such as SQL, R, Python, or SAS.
- Experience with big data analytics tools and frameworks, including Hive, Spark, and Impala.
- Excellent analytical, problem-solving, and decision-making skills.
- Strong communication and interpersonal skills, with the ability to collaborate effectively across various business units and functions.
VP, Fraud Analytics, Group Compliance - Singapore - UNITED OVERSEAS BANK LIMITED
Description
Roles & ResponsibilitiesJob Responsibilities
Job Requirements
Data Analysis
Fraud Detection and Prevention
Interpersonal Skills
Big Data Analytics
Risk Management
Strategy
SQL
Compliance
Python
Fraud
Statistics
Prevention
Data Science
Data Analytics
Financial Services