Job description
What Would You Be Doing Here?


• Conduct a thorough analysis of user data to identify and prevent fraudulent activities.
• Detect potential content misuse or unauthorized access through meticulous data analysis, contributing to safeguarding digital assets.
• Collaborate with technical teams to devise and implement strategies for mitigating risks associated with content misuse.
• Produce comprehensive reports on the trends, user engagement levels, and overall content effectiveness.
• Suggest improvements to the process to the data analyst to make the system robust
• Alert the team for any kind of anomalies identified
• Contribute to the identification and monitoring of KPIs


The Best Fit Candidate Would Have


• If you’ve got experience in Data analysis, particularly with video, device usage or fraud detection, like catching Credit Card frauds or similar irregularities, you’re the problem-solver were looking for!
• If you’re the type who can dive into data and emerge with nuggets of insight, we want you on our team.
• If you’re great at spotting what doesn’t belong — anomalies, irregularities, errors — and love playing with analytics tools, you’ll fit right in.
• So you’re a team player and you’re good at breaking down complex stuff into fun chats and love brainstorming with teammates, you’ll love it here.
• Fresh out of college with a BCA or BSc in Computer Science? Perfect! If you’ve got up to 1 year of experience in any banking sector, that’s a sweet spot for us.
• Attention to detail and a steadfast commitment to upholding ethical standards are non-negotiable for us.
• Risk focused and critical attitude, with the ability to identify potential process flaws and drive course correction.


Bonus Skills:


• Any Experience in fraud detection systems, including Credit Card assessment, banking, Fraud risk scoring, or similar domains, Bug bounty programs would be a plus
• Proficiency in data analysis tools and techniques such as Microsoft Excel, SQL, Tableau, Power Bi (or) Looker Studio

Role: Fraud Analyst
Industry Type: E-Learning / EdTech
Department: Risk Management & Compliance
Employment Type: Full Time, Permanent
Role Category: Security / Fraud

Education
UG: Any Graduate

Key Skills
User behavior analysis Fraud detection Log analysis