Fraud Analyst
CRED · Posted Nov 5
Credit card bill payment, rewards, lending, and financial management services
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About the role
CRED is an exclusive community for India's most trustworthy and creditworthy individuals, where members are rewarded for good financial behavior. The data science fraud team works at the intersection of data, technology and fraud prevention across CRED products. As a Fraud Analyst, you will analyze large datasets to identify emerging fraud patterns and partner with data science, product and engineering teams to build practical detection and prevention solutions.
What you will do
- analyse large datasets to identify unusual patterns, behaviours and signals that could indicate emerging fraud.
- investigate how fraudsters may be exploiting products, processes or system vulnerabilities.
- develop hypotheses, test them through data and translate findings into practical fraud detection approaches.
- work with data science and engineering to identify and close gaps in fraud detection and prevention.
- identify new signals and approaches that can improve our ability to detect evolving fraud patterns.
- build and iterate on detection logic and solutions as fraud patterns and attack methods change.
- partner with product and engineering teams across cred to understand new product flows and identify potential fraud risks.
- work closely with engineering to implement signals, controls and other prevention mechanisms.
- operate across different products and problem statements as fraud is a horizontal problem across CRED.
- stay curious about how systems work and how they can be exploited.
- learn continuously as new fraud patterns, technologies and vulnerabilities emerge.
- bring an adversarial / "hacker" mindset to problem solving , think beyond the obvious solution and challenge existing assumptions.
Skills used in this role
What the employer is looking for
- have 1–2 years of experience in data science, analytics, engineering or a related technical role.
- have strong sql and analytical skills and are comfortable working with large datasets.
- have good hands-on python/coding experience.
- have a basic understanding of data science /ML concepts such as features, models and how models are deployed. you do not need to be an ml specialist or have built fraud models before.
- are highly curious and willing to learn, especially in ambiguous and unfamiliar problem spaces.
- have an adversarial / hacker mindset you naturally think about how a system might be broken, exploited or circumvented.
- are comfortable getting hands-on and working closely with engineering and product to take an idea from analysis to implementation.
- have strong ownership and grit, and are comfortable operating with urgency when the problem demands it.
Benefits and support
- In-house pantry with lunch and dinner provided for all team members
- Paid sick leaves
- Comprehensive health insurance
- No fixed work timings
About CRED
CRED is an Indian financial technology platform that rewards individuals for timely credit card bill payments and offers curated financial products, lending, and lifestyle services. Built as a members-only community for users with high credit scores, the platform expands into wealth management, insurance, and e-commerce checkouts. Headquartered in Bengaluru, it plays a prominent role in digital payments and credit management across India.
- Industry
- Fintech
- Company size
- 1001-5000 employees
- Founded
- 2018
- Location
- Bengaluru, Karnataka, India
- Funding stage
- Series H
Funding
Series H · $2.38B raised
- 2026-06-22Series H$900M
- 2025-05-11Venture Round$72M
- 2022-06-09Series F$140M
- 2021-10-20Series E$251M
Leadership
Founder
Interim CEO
Recent coverage
FinTech Futures
Cred bags $900m investment from Meta, founder Kunal Shah appointed to lead WhatsApp2026-06-23
Outlook Business
Cred Founder Kunal Shah Steps Down As CEO To Head WhatsApp Globally As Meta Invests $900 Mn2026-06-23
The Star
Meta to invest $900 million in India's CRED, taps founder to lead WhatsApp2026-06-22