We're looking for candidates with strong analytical skills and hands-on experience working with financial datasets. You will be responsible for monitoring portfolio health, performing deep-dive exploration and analysis to identify risk drivers and improvements in our existing framework, and translating findings into actionable credit decisions. You will partner with business, product, and engineering teams to solve some of the most challenging problems in lending while also continuously improving portfolio quality by balancing risk control with growth opportunities. You will be embedded in a fast-paced environment, working within a strong team of data scientists with access to a robust data infrastructure.
Responsibilities
- Monitor portfolio risk metrics on a regular basis and proactively flag anomalies or emerging trends
- Perform root cause analysis when risk indicators deteriorate to pinpoint what's driving the change, such as identifying suspicious behavioral patterns
- Translate findings into concrete recommendations and implement adjustments as needed
- Build and maintain SQL-based features, analyses, and monitoring dashboards to support ongoing risk surveillance
- Perform occasional model evaluation to support credit scoring improvements
- Fresh Graduate/Bachelor's degree in an analytical or quantitative discipline (e.g. math, statistics, engineering, computer science), however other disciplines will be considered
- Experienced in using statistical computer languages such as Python, SQL, and MS Excel
- Have good communication skills and able to work together in a team
- Excellent problem-solving skills and have the drive to learn and master new technologies and techniques
- Willingness to learn new skills independently and have a strong sense of project ownership
- Not afraid to get your hands dirty exploring data, investigating anomalies, and building SQL-based analyses
- Comfortable working with large tabular datasets to detect trends and anomalies, and communicating findings as actionable recommendations.
- Exposure to credit scoring modelling concepts is a plus.
Skills Required
- Bachelor's degree in an analytical or quantitative discipline, such as mathematics, statistics, engineering, or computer science
- Experience using Python, SQL, and Microsoft Excel
- Strong analytical and problem-solving skills
- Good communication and teamwork skills
- Ability to independently learn new skills and technologies
- Ability to work with large tabular datasets and detect trends and anomalies
- Ability to communicate findings as actionable recommendations
- Exposure to credit scoring modeling concepts
What We Do
We are a technology startup that engages in the Indonesian financial technology area. We are based in Jakarta and we're founded by ex-silicon valley engineers. Our vision is to use technology to make financial information more available and more useful to everyone. Our mission is to enable people to take control of their financial situation and save a lot of money by doing so. Our products allow people to easily make the best financial decision for their situation. Come join our adventure in transforming Indonesian financial landscape through technology.
