About You
- You're a go-getter with mad juggling skills (or multiple hats) who can thrive in a fast-paced, agile environment
- You enjoy doing purpose-led and meaningful work
- You have a strong thirst for knowledge and are driven to find solutions that don't exist yet
- You are comfortable with ambiguity and extremely resourceful (in your past life, you could've been a detective)
- You always find a way to get things done without sacrificing the quality of your work, integrity, and values
- No task is off limits for you
- You are humble and prioritize the success of the team over your own with an eagerness to help those around you
- You don't shy away from challenges and can bounce back from setbacks
- We strongly encourage individuals with disabilities to apply. We believe in equal opportunity and strive to create an inclusive workplace where everyone can thrive.
What you'll do and what success looks like in this role:
- Assess credit risks related to the bank's loan products, set credit risk tolerance, credit score reduction, and review credit risk policies.
- Monitor credit portfolio regularly, identify and understand risk factors for each portfolio throughout the credit cycle, and evaluate them using a combination of leading and lagging indicators.
- Develop and implement strategies and policies to mitigate identified credit risks, including decision-making on policies and procedures, as well as the execution of credit risk management strategies.
- Prepare and present regular reports on credit exposure risks to management.
- Collaborate closely with related teams and stakeholders to ensure the bank maintains a healthy credit portfolio.
- Support the development and review of credit risk reporting, internal data governance, and validation of credit scoring models.
What Is Required And What We're Looking For
- Bachelor's degree or higher in Statistics, Mathematics, Business Administration, IT, Accounting, or related fields.
- Proficiency in both English and Bahasa Indonesia (spoken & written).
- Strong analytical and visualization skills, with experience in statistical or analytical tools.
- Proficiency in Python, Power BI, Excel, and SQL is an advantage.
