Data Scientist (Financial Services)

Singapore, Singapore Full-time

Open to candidate being based in SIngapore or Jakarta

Data Scientist (Financial Services)

Founded in 2010, Go-Jek is a mobile technology company with a social mission: to unleash social impact through technology. Since the app’s launch in January 2015, Go-Jek has been a one stop application for daily needs in Indonesia, revolutionizing solutions from transport, logistics and lifestyle services. 

Our data science team is based in Singapore and Jakarta, and works on many exciting projects for our customers, merchants, and drivers! If you're an independent thinker, are willing to learn, and love to impact people’s lives, then this is a perfect team for you. 


What’s it like working at Go-Jek?

With values of SPEED, INNOVATION and SOCIAL IMPACT, GO-JEK strives to always push the boundaries of innovation to bring a win-win solution to both its customers and providers. The services include GO-RIDE, GO-SEND, GO-FOOD, GO-MART, GO-BOX, GO-GLAM, GO-CLEAN, GO-MASSAGE, GO-BUSWAY, GO-TIX with many more to come.

As a true local startup, GOJEK’s mobile application is now the number one online service booking app in Indonesia, with 13 million downloads as of March 2016, 20 line of services spread out in 53 cities in Indonesia.

Proud to be Karya Anak Bangsa, we continue to strive to be a bar raising company. This is the place where we get to collaborate with A+ talent. This is where we experience tremendous growth and learning opportunity. This is where we nurture our fast-paced, dynamic and fun-filled culture.


  • Build, evaluate, and monitor consumer credit risk models for a variety of financial products
  • Build, evaluate, and monitor consumer credit scoring models using different ML techniques
  • Select features, build and optimize classifiers with machine learning techniques 
  • Process, cleanse, and verify the integrity of data used for analysis 
  • Data mine for important information and insights 
  • Perform ad-hoc analysis and present results in a clear manner and concise
  • Extend company’s data with third party sources of information when needed 

Skills and Qualifications 

  • You have experience working in the consumer credit industry with a quantitative background in the development, validation and use of statistical modelling and loss forecasting models
  • At least 2-3 years of hands-on experience in building, evaluating, and monitoring risk and consumer credit scoring models for financial products
  • Really good knowledge of underwriting and risk assessment methodologies for consumer financial products
  • Excellent understanding of statistics
  • You have proven Python, R, SQL, and Shell skills
  • Good understanding of machine learning techniques and algorithms 
  • Experience with experimenting on different modelling techniques (supervised and unsupervised learning) and develop data visualisation for data stories
  • Ability to whiteboard some theory while at the same time rolling up your sleeves and get coding 
  • Self-driven and entrepreneurial with a strong sense of ownership 
  • Good communication skills and ability to present technical concepts to a non-technical audience
  • Ability to work independently to solve problems and develop solutions 
  • You have the ability to write model documentation clearly and concisely and support findings with reasonable foundations
  • Constant learner
  • Excellent communication skills (English is required)

What would be a bonus:

  • At least 2 years of experience working with large data sets 
  • Familiarity with Google ecosystem is a plus
  • Good understanding of mathematics

Required skills

Python, R, Statistics, SQL




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