Summary of Role :
- This position will be a part of the Trust & safety team, where the candidate will be working closely with cross functional teams including Bus, Data Science, Product, Eng & Finance by bringing together right elements w.r.t fraud identification & remediation.
Key responsibilities:
- Online fraud detection such as collusion, multiple ids, bonus abuse etc. using data analytics.
- Use analytics techniques to detect, prevent and mitigate fraud. Fraud hypothesis and identifying new patterns of abuse
- Work on Insights and help in translating data into actionable business decisions.
- Solutioning with Business & Product team by bringing in the right process/system/ policy fixes in a manner that balances b/w cost & experience
- Defining key Financial and Operational metric to enable real time detection of fraud/ abuse
- Own daily, weekly and monthly reporting of KPIs.
- Build strategies and suggest changes in processes which will eventually become industry benchmarks in the risk management space.
- Analyzing behavior of new users and old users for identifying new patterns which may help in early detection of risk.
- Explore new features, external engagements and features/variables for better Risk mitigation.
Desired Skill Sets:
- Experience of 3-4 years in the field of Analytics preferably risk analytics for app based product
- Engineering graduate from IIT/NIT.
- Strong analytical thought process and aptitude for creative problem solving
- Working knowledge of database tools is must
- Hands on experience in SQL/HQL/Hive
- Experience in one or more: Python, Spark, R, Scala
- Working knowledge of Power BI or Tableau for data visualization and KPI measurement
- Need high level of energy and enthusiasm
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