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.
What You’ll Need:
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.
Skills
Risk Management
Risk Analytics
Quantitative Finance
Quantitative analysis
Critical Thinking
Functions
Marketing
Job Overview
Job Type:
Hybrid
Company
LINE MAN Wongnai
147 active jobs
Industry:
Consumer Goods, Retail & E-Commerce
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