Data Scientist - Risk Platform

Cermati.com (Jakarta Metropolitan Area)

DKI Jakarta, Indonesia

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.

About this position

We’re looking for fresh graduates with experience in manipulating datasets and building statistical models for credit risk by leveraging machine learning techniques. You will partner with business, product, and engineering team to explore, determine, analyze, propose, and solve some of the most challenging business problems in lending and reduce risk.

Responsibilities

• Perform features selection, parameter binning, and optimize custom predictive machine learning models for credit risk scoring
• Query, process, cleanse, and verify the integrity of data used for analysis
• Analyze key metrics to determine risk and explore areas for improvements
• Create reports and dashboards to monitor model impact and performance
• Help build the variety of data ingredients needed to do modelling effectively
• Maintain the credit risk model platform which is utilized by the team
• Provide advice and guidance on potential efficiency gains and new state-of-the-art credit risk modelling methodologies

Requirements

• Bachelor 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 R, Python SAS, SQL, or advanced MS Excel skills is a plus.
• 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 to explore data and build statistical models