Risk - Financial Services

Data Scientist - Financial Services

Jakarta, Jakarta   |   Full Time
Lentera Inspirasi Pembiayaan (LIP), an entity of Flip, is building the fairest and most customer centric multi-finance platform in Indonesia.

We are seeking an experienced Data Scientist that will support the risk department by building ML/AI-based models to assist underwriting and other aspects of lending business, delivering statistically driven and actionable insights, and designing efficient reporting frameworks. The ideal candidate will have a strong background in ML/AI modeling, statistics, and analytics within a financial or multi-finance environment.


About Flip
Rafi, Luqman, and Anjar, who were college friends in Universitas Indonesia, started Flip as a project in 2015 to transfer payments to each other at a fraction of what banks would charge them. They are pioneers in the Indonesian market, with their technology now helping millions of Indonesians, both individuals and businesses, carry out bank-to-bank money transfers through a reliable and seamless app.

After seven years of operations, Flip has helped Indonesians transfer money worth several trillions of rupiah and has received double-digit funding from respectable investors such as Sequoia India, Insight Partner, and Insignia. Flip’s ultimate mission is to give Indonesians access to one of the most progressive and fairest financial services in the world.

At Flip, we always strive to provide the fairest place for you to work, learn, and grow with talented and fun people in various opportunities to advance your career and get fair rewards. We believe that we have to treat employees, customers, and all stakeholders fairly and respectfully. Fair treatment for employees means we establish clear goals, facilitate our employees to achieve them, and value their contribution to the company with equitable benefits.


Key Responsibilities:
  • Support the lending business by providing expertise in the form of predictive models using ML/AI
  • Define problems and hypotheses, develop recommendations and decision support tools to increase business value
  • Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies
  • Be able to clearly communicate findings and ideas to technical or non technical team with Indonesia and English language


Qualifications:

  • Have a minimum 5 years of experience in creating end-to-end ML/AI models from data cleansing, feature engineering, to model monitoring
  • Strong knowledge fundamentals in statistics
  • Able to communicate ideas in English fluently
  • Familiar with data visualization tools such as Tableau, Superset, etc
  • Proficient in Python and SQL

Preferred Qualifications

  • Knowledge in credit scoring, risk profiling or underwriting in Multi-finance industry
  • Experience with Machine Learning Engineering concepts is a plus (model deployment, parallelization, etc)

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