# fraud analyst

**Company**: CRED
**Location**: bengaluru
**Work arrangement**: onsite
**Experience**: entry
**Job type**: full-time
**Category**: Data Science
**Industry**: Finance

**Apply**: https://jobs.lever.co/cred/913a6616-78c9-4ca3-8c92-67ddea8a80df?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/fraud-analyst-82622c89-42f/

## Description

CRED is an exclusive community for India's most trustworthy and creditworthy individuals, where members are rewarded for good financial behavior.

As a fraud analyst at CRED, you'll work at the intersection of data, technology, and fraud prevention to identify and prevent emerging fraud patterns across products.

## Responsibilities

### Fraud Detection & Analysis

- Analyse large datasets to identify unusual patterns, behaviors, 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.

### Fraud Prevention & Problem Solving

- 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.

### Cross-Functional Execution

- 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.

### Continuous Learning

- 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.

## Requirements

- 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.

- Are highly curious and willing to learn, especially in ambiguous and unfamiliar problem spaces.

- Have an adversarial / hacker mindset.

- 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.

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## Skills

### Required
- SQL
- Python
- data science
- analytical skills
- problem-solving

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Source: [Apply at jobs.lever.co](https://jobs.lever.co/cred/913a6616-78c9-4ca3-8c92-67ddea8a80df?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)