Job description

Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provides business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors.

What you will do:

  • Developing credit risk models that will determine loan eligibility, as well as repayment/ default predictions
  • Developing the predictive models that will determine pricing and interest rates
  • Take an active role in monitoring and adjusting all models
  • Perform ad-hoc reporting and analysis, when needed
  • Building, validating, testing, and deploying models
  • Communicating solution approaches effectively to stakeholders
  • Testing, measuring, acting on projects that drive the business
  • Finding innovative and creative ways to obtain new sources of data

What we are looking for:

  • 4+ years of experience manipulating data sets and building statistical models
  • Degree in Statistics, Mathematics, Computer Science or another quantitative field (Masters or above preferred)
  • Previous experience in credit risk
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, etc.
  • Experience querying databases and using statistical computer languages: Python, SQL, R etc.
  • Experience using web services: Snowflake, Big Query, Redshift, S3, etc.
  • Experience visualizing/presenting data for stakeholders using leading BI/visualization tools such as Tableau, Qlik, MicroStrategy, Sisense, Periscope, etc.
  • Independent learner who enjoys technical challenges
  • Good communication skills in order to turn your results into actionable insights that business teams use
  • Written and spoken English

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