About the role
Responsibility
- Responsible for defining data specifications and clarifying logical rules for various types of data (including risk data, financial data, and business data), as well as conducting in-depth data cleansing, feature engineering, and analytical tasks.
- Develop data-driven strategic solutions aligned with business objectives and risk appetite to support financial planning and business decision-making.
- Automate and optimize existing processes to enhance operational efficiency and accuracy.
- Prepare comprehensive model monitoring reports, validation reports, technical presentations, and business requirement specifications to ensure model performance and related strategies comply with regulatory and compliance requirements.
Requirements
- Bachelor’s degree or higher in Statistics, Computer Science, Information Systems, Applied Mathematics, or a related quantitative field.
- Strong knowledge of Python and SAS, along with foundational and applied understanding of machine learning techniques including Random Forest and XGBoost is desirable.
- Prior experience with Large Language Models (LLM) or generative AI applications is a plus.
- Strong analytical skills, deep expertise in data analysis, and the ability to exercise sound independent judgment.
- Excellent written and spoken English and Chinese; Fluency in Mandarin is advantageous.