Data Analyst Fraud at Simpl

Simpl is India’s premier checkout network, dedicated to making digital payments both invisible and intelligent. We are transforming the payments landscape by democratizing digital access and helping merchants foster genuine trust with their customers. With a network spanning over 20,000 merchants and serving millions of users across the country, we provide a comprehensive e-commerce solution that includes one-click checkouts, buyer protection, and pay-later options. We are currently looking for a Data Analyst to join our team in India on a full-time, on-site basis to help us continue building a secure and intuitive payment experience.

Key outcomes

• Analyze complex datasets to identify potential risks and evaluate the outcomes of our data-driven decisions.
• Develop and implement machine learning and heuristic models to assess risk throughout the customer journey.
• Consolidate data from diverse sources to provide a holistic view of risks associated with customer transactions.
• Track internal and external data points to monitor risk levels, particularly during the launch of new product features.
• Research potential new customers to understand and mitigate risks associated with acquisition.
• Partner with our Fraud, Risk, and Underwriting teams to design effective analytical techniques for risk assessment.
• Prepare detailed reports, presentations, and process documentation to communicate findings to stakeholders and leadership.
• Build and maintain robust systems for storing and gathering risk-related data for future analytical initiatives.

Requirements

We are seeking candidates who possess a strong foundation in quantitative analysis and a passion for advanced analytical techniques. You should have the following qualifications:

• A Bachelor's degree in Engineering, Mathematics, or Economics from a top-tier institution.
• One to five years of professional experience in a risk-focused role, such as fraud detection or underwriting.
• Proficiency in programming languages including Python and SQL.
• Practical experience with machine learning models and their implementation.
• Excellent written and verbal communication skills, with the ability to work both independently and collaboratively.
• A flexible mindset, eager to learn new technologies and manage multiple projects simultaneously.

Preferred qualifications

While not mandatory, we highly value candidates who demonstrate proficiency in the following tools:

• Microsoft Excel
• Qlik
• Visio
• Power BI

How to apply

If you are interested in joining our mission to simplify digital payments and possess the analytical skills we need, we invite you to submit your application. We look forward to reviewing your background and discussing how you can contribute to our team.