Data Science

Credit Risk

Bangkok, or Jakarta
Work Type: Full Time

Who We Are

We’re an honest financial technology company leveraging cutting-edge technology to bring payment solutions to the underserved Southeast Asia market. The team is a diverse and carefully selected group of world-class finance and tech professionals. The environment is nurturing and fast-paced, driven by our passionate team. We’re learning, breaking, fixing, growing, and loving it.

Who You Are

A credit risk analyst who are experienced in using credit bureau and alternative data to assess loan applicant’s credit risk. You get excited with challenges as you are a strategic thinker & creative problem solver, and you roll up your sleeves to get the necessary data to drive your ideas. You are a team player. You know when to ask for help and when to lend it too.

Responsibilities

  • Research and assess the value of alternative data for credit risk assessment
  • Provide requirements to data scientists to create features and models from credit bureau and alternative data for predicting credit risk of prospects, loan applicants and existing customers
  • Develop credit risk strategies for customer acquisition and portfolio management, provide strategy implementation specification to engineers and conduct user acceptance test
  • Work closely with product and engineering teams to provision requirements to build supporting systems and solutions for credit risk management
  • Monitor acquisition and portfolio credit risk performance and work with business partners on management and regulatory reporting related to credit risk to ensure continuous improvement and adequate implementation of business and regulatory requirements

Qualifications

  • Bachelor’s, Master’s, or PhD in Statistics, Applied Mathematics, Financial Engineering, Computer Science, Electrical Engineering, or related quantitative fields
  • 3+ years of credit risk management experience for financial products. Credit risk management experience in Indonesia or other  Southeast Asia countries is preferred
  • 2+ years experience of using e-commerce data for credit risk assessment.  Experience in using other alternative data for credit risk assessment is a plus
  • Skilled in Python and/or R programing
  • Strong bias for action, and ability to work independently toward stated goals

Language skills:  English is required, Indonesian (Bahasa Indonesia) is a plus

Office location: Bhiraj Tower Office 

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