Job Descriptions :
- Analyze massive user and merchant data to develop insights on user behaviors and/or payment risks
- Develop and communicate insights and recommended actions to stakeholders to reduce user and payment fraud by contributing towards machine learning models, rules and other detection systems
- Conduct data investigantions and analysis on existing/emerging fraud trends
- Work cross functionally on managing risk associated with OVO products, processes, and payment methods
Qualifications :
The must haves;
- 3-6 years of experience as a hands-on analyst in a high tech company
- A technical degree in Computer Engineering, Information Technology, Data Sciences, Maths or related fields
- Strong experience in handling large scale unstructured data. Experience in SQL, as well as ability to learn more advanced data
- Business Intelligence experience using tools such as Tableau, Qliksense and Excel
- Working experience of any of the data analysis tools such as R, Python, SPSS, SAS, etc.
- Experience with application of experimentation and statistical techniques (such as hypothesis testing, probability distributions, regression, decision trees etc.)
- Proficient in English and has excellent written/verbal communication skills
- Ability to make sound judgement calls independently when presented with difficult decisions, especially when only partial information is available
- Ability to take initiative in a fast-moving environment
Would be advantages to have;
- Deep understanding of the fraud space with hands-on knowledge of fraud, payments, and risk (especially on tech products)