What the Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
- Fraud tracking and mitigation through rule deployments
- Write efficient and complex code in SQL
- Experimentation, A/B testing, and statistical modelling
- Proven ability to handle and visualise large datasets, explore and utilize raw data feeds
- Liaise with Operations, Product and engineering counterparts to launch and impact new products
---- Basic Qualifications ----
- 4+ years of experience in a data-focused role such as product analytics, business analytics, business operations, or data science
- Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience
- Experience in modern programming languages (Matlab, Python) or statistical languages (SQL, SAS, R)
- Past experience with a Product / Tech company serving millions of customers on multiple platforms and countries
---- Preferred Qualifications ----
- SQL Mastery
- Expert at Python
- Solid understanding of statistics
- Experience in Risk in a Product / Tech company
- Love of data - you just go get the data you need and turn it into an insightful story.
- A well-organized, structured approach to problem-solving
- Strong sense of ownership, accountability, and entrepreneurial spirit
- Great communicator, problem-solver & confident in decision making
- Independent & autonomous, while still a strong teammate
- Enthusiastic, self-starting and thrives in changing, agile environment