Job Description
- 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.
Qualifications
- Experience of 3+ years in the field of Analytics preferably risk analytics for app based product
- Engineering graduates from IIT/NIT or any good college.
- 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 is a plus : Python, Spark, R, Scala
- Working knowledge of Power BI or Tableau for data visualization and KPI measurement
Additional Information
" We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regards to race, color, religion, sex, disability status, or any other characteristic protected by the