Deskripsi pekerjaan
Overview
BukuWarung is SEA鈥檚 fastest growing startup and we are building the digital infrastructure for 60 million MSMEs in Indonesia, enabling them to efficiently manage and grow their business, starting with digital bookkeeping, online storefront & payments. BukuWarung鈥檚 vision is to empower 60 million MSMEs in Indonesia to become financially aware and enable them to manage and grow their business using technology.
BukuWarung is backed by top tier VCs globally: Peter Thiel鈥檚 Valar Ventures, Goodwater Capital, Y-Combinator, AC Ventures, Quona Capital, East Ventures, Golden Gate Ventures,聽Rocketship.vc, Tanglin Venture Partners and strategic angel investors from Stripe, PayPal, Plaid, Grab, Gojek, Facebook, AirBnB, Fast, Mastercard etc.
BukuWarung is SEA鈥檚 fastest growing startup and we are building the digital infrastructure for 60 million MSMEs in Indonesia, enabling them to efficiently manage and grow their business, starting with digital bookkeeping, online storefront & payments. BukuWarung鈥檚 vision is to empower 60 million MSMEs in Indonesia to become financially aware and enable them to manage and grow their business using technology.
BukuWarung is backed by top tier VCs globally: Peter Thiel鈥檚 Valar Ventures, Goodwater Capital, Y-Combinator, AC Ventures, Quona Capital, East Ventures, Golden Gate Ventures,聽Rocketship.vc, Tanglin Venture Partners and strategic angel investors from Stripe, PayPal, Plaid, Grab, Gojek, Facebook, AirBnB, Fast, Mastercard etc.
Responsibilities
- Define and scope the unique data needs for risk surveillance, mitigation and fraud.
- Design and implement data powered feedback mechanisms that help leaders assess the amount of risk and fraud across different product and services, to drive targeted mitigation actions.
- Perform analysis to discover risk related trends and complex behaviors hidden in the data pick up and communicate actionable insights to business and product leaders.
- Design, build, maintain and improve risk protection measures.
- Continuously improve the use of our data and tools in your day to day work.
- Contribute to developing a deep appreciation of risk in the business.
- Contribute to improving the analytical thinking muscle throughout the organization
Requirements
- 3+ years of working experience in analytics or similar data-related roles
- 1+ years of working experience in dealing with issues in risk or fraud domain.
- Curious to learn more about the business and products, and dig into potential risk and fraud scenarios.
- Ability to scope and define problems clearly and critically
- Strong problem solving and analytical skills with the ability to define tradeoffs between decisions
- Ability to communicate effectively with a both technical and non-technical audience
- Experience in scripting with SQL and building data pipelines
- Experience in data visualization and storytelling
- (Good to have) Ability to analyze data in Python, R, or other similar tools
- (Good to have) Bachelor鈥檚 or Master鈥檚 degree in a quantitative field, e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences
