Education level, qualifications:
- Bachelor&039;s degree in Finance, Banking, Risk Management, or a related field (PRM, FRM or CFA designation preferred)
- Strong in using data wrangling tools (e.g., SQL, Power BI, Python, R, or Julia).
- In- depth knowledge of credit risk principles, financial analysis, and regulatory requirements.
- In- depth knowledge of supervised learning models like Logistic Regression, CART, SVM, KNN, and ensemble models.
- Strong analytical skills with proficiency in loan portfolio management, credit risk measurement and management.
- In- depth knowledge of unsupervised learning like clustering and dimensionality reduction.
- In- depth knowledge and ability to build predictive scorecards (credit, fraud, collection, churn, propensity, etc) boosted with machine learning.
- In- depth knowledge of IFRS 9 and Basel III requirements for calculating expected credit loss (ECL).
- Professional at using English is a must and ability to speak Korean is a plus.
- In- depth knowledge of statistics, machine learning and deep learning is a must.
- Ability to use data science tools like R and Python is a must and additionally with Julia or MATLAB/Octave is a plus.
- Experience with building scoring models using XGBoost, LightGBM or Catboost is a plus.
Experience:
- In- depth knowledge of credit risk principles, financial analysis, and regulatory requirements.
- Strong analytical and problem- solving skills, with the ability to make data- driven decisions.
- Proven track record of developing and implementing effective credit risk strategies and policies.
- Excellent communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels.
- Experience with credit risk management systems and data analytics tools.
- Minimum of 10 years of experience in credit risk management, with at least 5 years in a leadership role.
Individual Characteristics:
- High teamwork spirit and leadership.
- Ability to work under high pressure and standalone base.
- Strong interpersonal and teamwork skills with the ability to collaborate effectively with diverse departments.