(Senior) Data Analyst, Bank Fraud Team - AI/ML, 50k
Michael Page
Hong Kong
Full time
Temporary
On-site
Competitive
About the job
- Min. 3 years in Data Analyst, Fraud Management in Bank
- 1 year Renewable Contract, leading Bank in HK
This opportunity is with a leading bank in Hong Kong. The company is known for its structured environment and focus on leveraging data to optimize business performance.
Job Description
- Developing and implementing data-driven strategies to support customer relationship management goals.
- Turn big, complex data into smart insights using advanced analytics, predictive models, and AI/ML to tackle risk areas like Fraud, Collections, and Underwriting.
- Analyzing large datasets to identify trends, insights, and opportunities for business growth.
- Maintaining and optimizing the CRM system to ensure its effective usage across teams.
- Collaborating with cross-functional teams to align analytics initiatives with business objectives.
- Creating detailed reports and dashboards to communicate findings and recommendations.
- Monitoring and improving data quality and accuracy within the CRM platform.
- Providing training and support to team members on CRM tools and analytics best practices.
- Staying updated with the latest trends and technologies in data analytics and CRM systems.
- Degree in Statistics, Mathematics, Computer Science, or related field.
- Data Analyst in 3 years experience; Senior Data Analyst for 5+ years in banking analytics, modeling, and AI/ML.
- Strong experience in data mining and insight generation.
- Hands-on expertise in Python, SQL/BigQuery, Tableau/QlikSense, and GCP; risk domain knowledge is a plus.
- Excellent communication and presentation skills to simplify complex ideas for varied audiences.
- Strong business acumen, problem-solving ability, and a proactive mindset.
- Ownership and service orientation to deliver impactful solutions.
- Career growth opportunities.
- Exposure to a large organization within the Financial Services industry.