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CREDfraud analyst
CRED operates an exclusive platform for trustworthy and creditworthy individuals in India, rewarding them for good financial behavior. The organization seeks a Fraud Analyst for its…
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About This Role
CRED operates an exclusive platform for trustworthy and creditworthy individuals in India, rewarding them for good financial behavior. The organization seeks a Fraud Analyst for its data science fraud team in Bengaluru on a full-time, on-site basis. This hands-on role sits at the intersection of data, technology, and risk mitigation. The position requires thinking like an adversary to spot unusual behaviors, investigate product vulnerabilities, and partner closely with data science,…
Job Description
CRED operates an exclusive platform for trustworthy and creditworthy individuals in India, rewarding them for good financial behavior. The organization seeks a Fraud Analyst for its data science fraud team in Bengaluru on a full-time, on-site basis. This hands-on role sits at the intersection of data, technology, and risk mitigation. The position requires thinking like an adversary to spot unusual behaviors, investigate product vulnerabilities, and partner closely with data science, engineering, and product groups to deploy practical solutions.
This role suits analytical professionals who enjoy tackling horizontal problem statements across multiple offerings. Candidates must possess strong coding fundamentals, curiosity, and an adversarial mindset to challenge existing assumptions. While prior fraud expertise or deep machine learning specialization is not mandatory, the position requires translating findings into effective detection approaches while adapting to evolving risks.
Employees at CRED enjoy various workplace provisions, including an in-house pantry with lunch and dinner provided, paid sick leaves, and comprehensive health insurance. The company maintains an environment with transparent processes, flexible work arrangements, and an absence of rigid job designations.
Responsibilities
- Analyze large datasets to spot unusual patterns and signals indicating emerging fraud
- Investigate how products, processes, or system vulnerabilities might be exploited
- Formulate and test hypotheses through data to create practical fraud detection methods
- Collaborate with data science and engineering to close gaps and iterate on detection logic
- Partner with product and engineering teams to understand new flows and implement prevention mechanisms
- Adapt to horizontal problem statements across various company offerings
- Maintain continuous learning regarding new technologies, vulnerabilities, and adversarial tactics
Requirements
- 1 to 2 years of experience in data science, analytics, engineering, or a related technical role
- Strong SQL and analytical skills with comfort working with large datasets
- Hands-on Python or coding experience
- Basic understanding of data science and machine learning concepts such as features, models, and deployment
- Adversarial or hacker mindset focused on understanding how systems can be exploited
- Ability to work closely with engineering and product to take ideas from analysis to implementation
- Strong ownership, grit, and the ability to operate with urgency
Core Skills
Benefits
- Stacked in-house pantry
- Lunch and dinner provided for all team members
- Paid sick leaves
- Comprehensive health insurance
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is this Fraud Analyst role located?
The position is based on-site in Bengaluru.
What is the employment type?
This is a full-time position.
What experience is required for this role?
Applicants need 1 to 2 years of experience in data science, analytics, engineering, or a related technical role, along with strong SQL, Python, and analytical skills.
What is the salary for this position?
The salary is not stated in the job posting.
Sample Interview Questions
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