Fraud Data Analyst, GO-FOOD  

We are looking for exceptional Fraud, Data Analyst for our Food Platform to identify fraud schemes from our data and implement strategies in our anti-fraud system. Join us in a race to identify patterns and trends in our ever-increasing transactional demands in order to stay ahead of the dynamic fraud landscape.

You will be working extensively with Data Scientists, Software Engineers and Product Managers to detect unusual patterns, combat financial crimes and prevent fraudulent activities.

Responsibilities:

- Investigate anomalies in our data and operations.

- Point out potential weaknesses in products, systems, processes and recommend feasible preventive measures.

- Liaise with cross functional teams to create anti-fraud tools for multiple use cases.

- Communicate frequently with internal stakeholders to share your business insights.

- Identify, analyze, and interpret trends or patterns in complex data sets.

• 4+ years of experience in an analytical role.
• Ability to write complex SQL queries.
• Bachelor degree in Computer Science, Business Analytics or related quantitative fields (Mathematics, Economics, Computer Science, Information Management or Statistics).
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Capacity for logical thinking & ability to present ideas in clear, coherent manner.
• Excellent communication skills (English is required).
• Experience working in fraud/risk/compliance areas. (Preferable)
• Proficiency in one or more programming languages including but not limited to Python, R. (Preferable)
• Familiarity with databases including but not limited to PostgreSQL, BigQuery. (Preferable)
• Proficiency in Tableau or similar data visualisation tools. (Preferable)
• Work experience in a start-up. (Preferable)