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AVP - VP, Data Analytics, Consumer Financial Services
Responsible for developing and initiating MI and business analytics for data-driven business decisioning with sounded credit management. Extend data adoption to drive business and operational initiatives to enhance corresponding effectiveness
Main Responsibilities:
Lead the design and implementation of advanced analytics projects, including predictive modeling, segmentation analysis, and data mining.
Collaborate with business units to understand their analytical needs and provide tailored solutions that drive business outcomes.
Present analytical findings and recommendations to senior management and other stakeholders, translating complex data insights into actionable strategies.
Plan and design sales performance tracking to promote effective sales management
Support the fulfillment of various sales and promotional programs through pre-scan analysis.
Analyze large datasets to identify market trend, patterns, insight and company portfolio performance for business strategies and operational improvements.
Monitor credit risk to maintain a balanced portfolio that aligns with risk-return objectives
Liaise with various departments to enrich their statistics and reporting in corresponding functional areas
Requirements:
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer
Minimum 10 years related experience in data analytics, business intelligence, or a related field
Solid understanding of statistical analysis and modeling techniques, including regression analysis, clustering, and time-series forecasting.
Excellent problem-solving skills with a strong attention to detail and accuracy.
Strong communication skills, with the ability to present complex information clearly to other stakeholders.
Proven ability to work collaboratively in a team environment and manage multiple projects simultaneously.
Proficiency in statistical methods and tools to analyze data and interpret results.
Ability to analyze complex data sets and derive actionable insights.
Strong problem-solving skills to identify issues and recommend data-driven solutions.
Good team player, with excellent communication, interpersonal and project management skills.
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