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:
- Conduct QA (Quality Assurance) for both new system implementations and BAU (Business-as-Usual) processes, including verifying that system logic aligns with applicable credit policies.
- Support the mapping and documentation of end-to-end credit systems and risk policies, including the creation of Standard Operating Procedures (SOPs) and user guide materials.
- Assist in testing and validating loan systems, including UAT (User Acceptance Testing) for feature enhancements or new policy implementations.
- Support daily credit risk operations, including credit limit increase processes, periodic manual SLIK checks, and flagging high-risk customers based on established criteria.
- Perform payment processing and external data reconciliation (including data from third-party vendors) to ensure the accuracy and completeness of data entered into the system.
- Collaborate with Data and IT teams to improve the accuracy, availability, and lineage of credit system data.
- Support policy changes within the credit system and ensure implementations are executed according to approved specifications.
What Is Required and What We're Looking For
- Final-year students or fresh graduates in Computer Science, Information Technology, Statistics, Mathematics, Finance, or related fields.
- Basic understanding of credit risk concepts, banking systems, or data analytics is an advantage.
- Strong analytical skills for working with both system data and quantitative data.
- Proficiency or familiarity with programming languages (Python, SQL) and data analytics tools (Excel, Power BI) is an advantage.
- Experience with or familiarity with project management tools such as Jira and Confluence is preferred.
- Well-organized and able to manage multiple tasks simultaneously with strong attention to detail.
- Able to work collaboratively across teams (Technology, Risk, and Business) and communicate effectively.
- Proficient in both Indonesian and English, with strong verbal and written communication skills.
