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Job Description

ABOUT HIRING FUNCTION

• Belong to Credit Risk Policy & Portfolio Management Center - Risk Division.

• Cooperating with the external data partners to improve the Risk Division and FEC’s performance.

• Focus on utilizing the external and internal data sources to implement the innovations following FEC’s activities such as Credit Risk Management, Fraud Detection/Prevention, Operational Risk Management, Business Development, Sales, Collections, and Operation. To keep FEC as the number one consumer lending firm in terms of innovation and performance.

• Partnership with a wide range of data providers such as Credit Bureau (CIC, PCB), Data Service such as Telco, Customer Demographic Data (included selfie and voice data), Social Media Data, E-Wallet partners, etc.

• Explore new data enrichment vendors and data sources to support the further growth of FEC.

Specific lead accountabilities of the role:

 

KEY RESPONSIBILITIES:

• Develop knowledge of all relevant data resources within FEC and in the broader Credit Industry to support FEC’s Risk Management (Credit Risk Management, Fraud Detection/Prevention) and other core activities.

• Harvest, wrangle, and prototype new data sources internally and externally to drive value for FEC and its customers.

• Using advanced analytic and statistical techniques to identify the relationship and gain insight from internal and external data sources (Credit Bureau, Telco, Demographic Data, or Social Media).

• Iteratively building and prototyping data analytics pipelines to provide insights or/and algorithms that will ultimately lead to new risk management methods through the application of data science stack as these fast-moving technologies develop, keeping FEC at the forefront of innovation.

• Apply advanced statistical techniques to identify new methods, tools, mechanisms, and opportunities to deliver business value via risk management (mitigate Credit Risk, UW process automation, and Fraud Detection/Prevention) or cost reduction.

• Governance: Support the analytic models throughout their lifecycle from researching, conceptions, development, documentation, implementation, testing, and monitoring.

• Conduct new reports based on current data about Market Movement, Customer Insights, Credit Quality, and Competitors' Activities to suggest strategic decision making.

• Current approach and output to senior managers and stakeholders, adapting the level of detail as appropriate.

Job Requirement

Requirements:

• Graduate from a quantitative field (Engineering, Statistics, Mathematics, Sciences) or Banking and Finance with Data Analytics Experiences.

• A reasonable understanding of or experience in the consumer lending industry.

• Proficiency in statistical techniques.

• Good SQL/data manipulation skills are required, including cleaning and managing data.

• Experience with integration of data from multiple data sources and data munging.

• Analytical and problem-solving skills.

• Experience in data visualization and communication.

• Proficiency in MS Office.

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