สมัครโปรดคลิกที่ปุ่ม "Apply"If you are an active SCB employee, please apply through Workday by searching "Find Jobs".If this is your first time applying you will need to create a candidate account when you click on apply.Job Description
Manage, clean, and prepare internal and external data (structured, semi-structured, and unstructured) for model development, deployment, and monitoring, including creating data quality and integrity reports
Develop and enhance statistical, expert, and hybrid models using various data modeling techniques (e.g., Logistic Regression, Random Forest, Gradient Boosting, Non-Parametric Regression) and, if needed, collaborate closely with external consultants across the entire model lifecycle
Generate prescriptive models to optimize risk and reward through interactive decision
Deploy and maintain credit risk models in the Databricks platform, collection system, and credit decision engine
Work closely with business users, credit approval officers, and relationship managers to align credit risk models with business strategy and digital lending risk assessment. Collaborate with IT and data engineers to ensure data availability and quality from various sources (both on-premise and cloud) for efficient model development.
Monitor, assess, and improve credit risk models throughout their lifecycle to ensure their continued effectiveness
Identify opportunities to develop alternative credit scores using partnership data.
Qualifications:
Bachelor's or higher degree in Finance, Statistics, Mathematics, Economics, MIS, Engineering, Data Science, or related fields
Minimum 1–2 years of experience in credit risk analytics, credit risk modeling, or credit scoring within retail banking, consumer finance, or any financial business
Proficiency in machine learning, credit scoring, and data analytics using R, Python, PySpark, MATLAB, SPSS, SAS, or SQL
Strong analytical mindset, critical thinking, data analytics, and programming skills
Excellent project management and communication skills, with proficiency in written and spoken English
Ability to work under pressure with a positive attitude and strong teamwork skills
Experience in credit risk modeling, model monitoring, validation, or deployment is preferred; knowledge of Basel, IFRS 9, RAROC, stress testing, big data, data mining, digital leading, or fin-tech/start-up is a plus
We're committed to bringing passion and customer focus to the business.If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.
