fraud analyst
CRED (company site, opens in a new tab)1–2 yrsBengaluruOn-siteDirect career pageEst. 10–18 LPA
Posted 7d ago
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Job description
Structured overview of role & requirements
About This Role
- Analyze large datasets to detect and investigate emerging fraud patterns and system vulnerabilities across multiple products.
- Collaborate with data science, product, and engineering teams to develop and implement fraud detection logic and prevention controls.
- Continuously research and adapt to evolving fraud risks, applying an adversarial mindset to problem solving and fraud prevention.
Minimum Requirements
- 1-2 years of experience in data science, analytics, engineering, or a related technical role.
- Strong SQL skills and proficiency working with large datasets.
- Hands-on Python and coding experience.
- Basic understanding of data science/ML concepts such as features, models, and model deployment.
Ideal Candidate Profile
- Operates with an adversarial/hacker mindset focused on identifying and mitigating system exploits.
- Comfortable working hands-on across data analysis through implementation with engineering and product teams.
- Adapts quickly in ambiguous environments and demonstrates strong ownership and urgency when addressing fraud-related challenges.