Deskripsi pekerjaan Data Scientist PT. PEFINDO Biro Kredit
About Pefindo Credit Bureau
PEFINDO Credit Bureau is the pioneer of private credit bureau in Indonesia. PEFINDO Credit Bureau was initiated by PT Pemeringkat Efek Indonesia (PEFINDO), Indonesia’s leading credit rating agency with more than 20 years’ experience in credit rating and managing sensitive, confidential data.
PEFINDO Credit Bureau operates by collecting credit data from financial institutions and non-credit data from several public agencies and institutions as our partners. The data is then processed and presented in the form of comprehensive and value-added information.
The Role
We are looking to strengthen our expanding team and currently have opportunities for individuals from a data science and analytics background with direct experience in financial technology and banking.
You will work cross-functionally with internal teams and external partners to support our company's rapidly expanding products. We are looking for Data Scientists who are passionate about the opportunity to use our rich credit data.
Responsibilities:
- Create scorecards, score bands, and predictive models to leverage our unique credit data to predict, prevent and solve our clients business problems.
- Combine data from various sources and ensure data consistency. Apply quantitative analysis, and data mining to extract, capture and understand data to form an opinion on how to best help our clients and derive relevant credit insights.
- Propose variables, factors or algorithms that affect the prediction results
- Partner with a variety of internal teams and external partners to provide comprehensive products & solutions
- Provide interpretation of the data or predictions made
Qualifications:
- Minimum 2 year experience in data-based decision-making or credit risk modelling
- Previous exposure to financial services, FinTech, credit cards, loans is required both from end-user/vendor side
- Bachelor’s degree in an analytical field such as statistics, operations research, economics, computer science (graduate degree is a plus)
- Experience with extracting and aggregating data from large data sets using SQL or other tools
- Experience in understanding and analyzing data using statistical software (e.g., Python, SAS, R, SPSS, or others)
- Machine learning experience is a plus
