- Company: CRED
- Location: Bengaluru
- Job type: Full-time
About the role
CRED is an exclusive community for creditworthy individuals in India. As a Fraud Analyst, you will work at the intersection of data, technology, and fraud prevention. Your goal is to identify and stop emerging fraud patterns across CRED products. This is a hands-on problem-solving position that values strong analytical and coding fundamentals over deep machine learning expertise.
Responsibilities
- Analyze large datasets to spot unusual patterns and signals indicating potential fraud.
- Investigate how fraudsters might exploit products or system vulnerabilities.
- Develop and test hypotheses to create practical fraud detection approaches.
- Collaborate with data science and engineering teams to close gaps in prevention.
- Build and iterate on detection logic as attack methods evolve.
- Partner with product teams to identify risks in new product flows.
- Implement signals and controls with engineering to prevent fraud.
Requirements
- 1–2 years of experience in data science, analytics, engineering, or a related technical role.
- Strong SQL skills and comfort working with large datasets.
- Good hands-on experience with Python or coding.
- Basic understanding of data science and ML concepts such as features and model deployment.
- High curiosity and willingness to learn in ambiguous problem spaces.
- An adversarial or “hacker” mindset that questions how systems can be broken.
- Strong ownership and grit to operate with urgency when needed.
Pay and benefits
- Lunch and dinner provided for all team members.
- Paid sick leaves.
- Comprehensive health insurance.
- No fixed work timings; productivity is measured by output.
How to apply
Apply directly on CRED’s own careers website. Omadaily never charges job seekers.
