Data Analyst
🚀 We're Hiring | Rule Engine Management | Transaction Monitoring | Fraud Analytics | Data Analytics | Bangalore
We are looking for talented professionals to join our growing Fraud & Transaction Monitoring team in Bangalore (Electronic City).
If you're passionate about combating fraud through intelligent rule optimization and data-driven insights, we'd love to hear from you!
📍 Location: Bangalore – Electronic City
🕒 Shift: 05:30 PM IST – 02:30 AM IST
🏢 Work Mode: 100% Work from Office
What We're Looking For
Rule Engine Management for Transaction Monitoring and Fraud Detection, including:
- Designing, creating, tuning, testing, deploying, and optimizing fraud detection rules
- Enhancing rule performance by reducing false positives while maintaining high fraud detection rates
- Rule gap identification, root cause analysis, and continuous rule optimization
- Collaborating with Fraud, Risk, Operations, and Technology teams to implement effective fraud strategies
Data Analytics / Data Scientist who can do
- Analyze large transaction datasets to identify fraud trends, anomalies, and suspicious patterns
- Develop actionable insights to improve fraud detection strategies and rule effectiveness
- Support fraud prevention initiatives through data analysis, statistical techniques, and pattern recognition
Preferred Skills
- Experience in Transaction Monitoring and Fraud Detection
- Strong analytical and problem-solving skills
- SQL
- Exposure to Snowflake, Python, Power BI, or similar analytics tools is an added advantage
- Experience in Payments, Financial Services, Banking, or FinTech domains is preferred
If you're excited about using Rule Engine Management and Data Analytics to build smarter fraud detection capabilities, I'd be happy to connect.
📩 Please send your updated resume via LinkedIn DM or comment below. Feel free to share this opportunity with your network.
#Hiring #TransactionMonitoring #RuleEngine #FraudDetection #FraudAnalytics #DataAnalytics #DataScience #SQL #Snowflake #PowerBI #Python #RiskManagement #FinancialCrime #Payments #FinTech #InfosysBPM #BangaloreJobs #ElectronicCity #HiringNow
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Interview advice
Going for the Data Analyst role at Infosys BPM? A few things that help freshers walk in prepared:
- Brush up SQL joins and aggregations, and be ready to walk one analysis end to end: the question you asked, the data you used, and what you found.
- For a virtual interview, test your internet, camera and mic in advance, sit somewhere quiet and well-lit, and still dress formally — it signals you are serious.
- Prepare two or three thoughtful questions to ask them about the team, the work and growth; "I have no questions" reads as low interest.
- It is fine not to know something — say how you would find the answer. Freshers are hired for how they think, not for knowing everything already.
- Use STAR for "tell me about a time" questions — Situation, Task, Action, Result — so your story stays clear and short.