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Credit Portfolio Risk Manager/Senior Manager

LINE MAN Wongnai (Bangkok, Bangkok City, Thailand)
Bangkok, Thailand 🇹🇭
LINE MAN Wongnai aim to help Thai people live better, to empower all local businesses with our e-Commerce platform for services.Our platform will connect consumers, riders and local businesses and improve the daily life of all parties.

Detail posisi

LINE MAN Wongnai is Thailand’s Leading On-Demand Delivery and Lifestyle e-Commerce platform services, focusing on empowering local businesses and enhancing the daily lives of consumers through innovative financial products and services.

Kewajiban

• Conduct deep-dive analyses, enhance monitoring tool, prepare report on the credit portfolio in terms of portfolio risk performance, customer risk profile, policy performance, and predicting risk patterns / trends.
• Provide suggestions to refine the credit decisioning and related policies / processes (e.g., underwriting, account / portfolio management, collection).
• Liaise with related stakeholders to formulate and execute the credit strategy / credit risk management guidelines, ensuring alignment with the company’s strategic objectives and risk appetite.
• Utilize data-driven insights / ML analytics to identify the targeted area for improvements and support in business growth opportunities.

Kualifikasi

• Minimum 6 years of experience in portfolio risk management, credit risk analytics areas in banking or lending business with the focus on the retail credit risk. Experience in digital lending business / fintech is a plus.
• A degree in data science, financial engineering, statistics, risk management or related fields. Relevant professional qualifications (e.g., CFA, FRM, RAI) is a plus.
• Strong analytical and critical thinking skills with the ability to interpret extensive data and turn it into actionable strategies.
• Proficient in data analytics, data visualization tools (e.g, Python, advanced Excel, Power BI).
• Familiar in credit risk models concept / methodology (e.g., credit scoring, PD / LGD models, risk-based pricing) and ML analytics.
• Ability to work effectively in a fast-paced, dynamic environment.
• Proficient in business-level English. Excellent verbal and written communication skills with the ability to present complex information clearly to diverse audiences.