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Credit risk model & Data Scientist

Ngern Tid Lor Public Company Limited (Phaya Thai)
Phaya Thai
Bangkok, Thailand 🇹🇭
Ngern Tid Lor Public Company Limited (“TIDLOR”) is the leader in the fast-growing vehicle title loan market in Thailand. It is also a non-life and life insurance broker with the largest number of licensed branch staff in the country. With over 1,000 branches nationwide, the company is working to alleviate poverty in Thailand by providing fair, transparent, and convenient financial services. All Ngern Tid Lor’s operations are guided by the vision “Everything we do, we strive to empower people and enrich lives. We believe that access to fair, transparent, and responsible financial services is everyone’s right.” This is reflected through its range of products and services that create opportunities for the under-banked Thais who often lacks access to formal financing. In 2020, Ngern Tid Lor received two awards, Dream Employer of the Year and Dream Company to Work For from the Global Best Employer Brand Awards 2020. These awards reflect our commitment to creating a strong corporate culture and readiness for digital transformation to reduce financial inequality for customers and create sustainable opportunities for Thai society. For more details, please visit www.tidlor.com/th/tidlorstory.html

Detail posisi

The position of Credit Risk Model & Data Scientist involves developing and validating credit risk models, ensuring compliance with regulatory standards, and contributing to portfolio management optimization.

Kewajiban

• Develop and validate credit risk model ; Application Score, Behavior Score, Collection Score
• Implement and monitor all credit risk models to achieve compliance with regulatory and risk strategy.
• Contribute to develop/ improve tools to optimize portfolio management with competitive processing.
• Participate in data analytics, Statistical model development and Statistical testing.
• Provide solid segmentation analysis to facilitate business decision making and portfolio management, including identify key risk driver on portfolio/ segment

Kualifikasi

• Bachelor’s degree or higher in Finance, Economics, Risk Management, Statistics, Mathematics or any related field
• Having experience in credit model, credit risk analyst, credit risk management on statistical approach.
• Demonstrated understanding of databases and database management
• Knowledge in using SAS or Python software
• Good Logical thinking, analytical, presentation, communication and project management Skill
• Work both independently and as team member and working under pressure and committed deadline.