Manager- T&S

Swiggy; Bengaluru; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Swiggy in Bengaluru is seeking a data analytics professional to join the Trust Safety team. You will work with Business, Data Science, Product, Eng, and Finance to identify fraud patterns and remediate issues while balancing cost and user experience.

You will detect fraud, translate data into actionable decisions, define KPI metrics, and own reporting. A strong analytics foundation plus experience with SQL and visualization tools is required.

Qualifications

• 3+ years of analytics experience in risk analytics for app-based products.
• Engineering graduates from IIT/NIT or a good college.
• Strong analytical and problem-solving skills.
• Proficient with database tools and SQL/HQL/Hive.
• Experience with Python, Spark, R, or Scala is a plus.
• Familiar with Power BI or Tableau for KPI measurement.

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.

Job description

This position will be a part of the Trust safety team, where the candidate will be working closely with cross functional teams including Business, 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.

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