Senior Data Scientist, Fraud Risk Strategy & Analytics

Applied Data Finance

Join Applied Data Finance to monitor fraud performance metrics and collaborate with fraud operations to address real-time trends and issues.

Last checked on June 14, 2026. We may earn a commission when you click through.

The position offers a significant opportunity for professionals looking to impact fraud risk management in a dynamic environment.

✓ Engaging work environment ✓ Opportunity to drive change in fraud strategy ✓ Collaboration with experienced teams

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Senior Data Scientist, Fraud Risk Strategy & Analytics

Applied Data Finance

Updated 1 month ago

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Jaipur

The position offers a significant opportunity for professionals looking to impact fraud risk management in a dynamic environment.

About this role

Join Applied Data Finance to monitor fraud performance metrics and collaborate with fraud operations to address real-time trends and issues.

About the Company

Applied Data Finance specializes in data-driven financial solutions, focusing on risk management and analytics.

Key Highlights

✓ Monitor portfolio fraud performance metrics
✓ Collaborate with fraud operations for real-time analysis
✓ Interpret findings to propose actionable strategies
✓ Focus on loss rates, capture rates, and KPIs
✓ Drive insights for fraud risk management

💡 Honest Take: This role is ideal for experienced data scientists passionate about fraud analytics and strategy development.

Pros

✓ Engaging work environment
✓ Opportunity to drive change in fraud strategy
✓ Collaboration with experienced teams
✓ Focused on data-driven decision making

Cons

✗ Position is not remote
✗ Requires advanced analytical skills
✗ High-pressure environment due to fraud trends

Best For: Ideal for professionals seeking to leverage data to mitigate fraud risk in financial services.

Watch Out: Candidates should be prepared for the fast-paced nature of fraud analytics, which can be challenging.

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What Customers Say

Employees appreciate the collaborative environment and the chance to work on impactful projects, though the high-pressure nature of fraud analytics is noted.

Expert Review

In the role of Senior Data Scientist at Applied Data Finance, you'll delve deep into fraud performance metrics like loss and capture rates. This position requires a keen analytical mind to interpret real-time fraud trends and translate investigator findings into actionable strategies. The emphasis on segment-level KPIs ensures that your insights will directly influence the company's fraud risk management approach.

Collaboration is key; working closely with fraud operations will allow you to monitor evolving trends and quickly address emerging issues. While the position promises engaging work, it is essential to recognize that the fast-paced nature of fraud risk analytics can be intense. Candidates must possess technical skills but also the ability to thrive under pressure.

For those ready to take the plunge, this opportunity at Applied Data Finance can be a in your career. The team is dedicated to data-driven solutions, and your contributions will be pivotal to shaping fraud strategies. If you're eager to make an impact in the financial sector, consider this role seriously. More details can be found on their official listing.

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