Data Scientist, Fraud Risk Mitigation

Applied Data Finance

Seeking a Data Scientist for fraud risk mitigation with a quantitative background to ensure data quality in fraud reporting and analysis.

Last checked on September 25, 2026. We may earn a commission when you click through.

✓ Opportunity to work in a growing field. ✓ Hands-on experience with data quality checks. ✓ Engagement in meaningful fraud risk mitigation efforts.

Data Scientist, Fraud Risk Mitigation

Applied Data Finance

Updated 3 hours ago

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Nagpur

This position is ideal for recent graduates in quantitative fields looking to start their careers in data science. However, the absence of disclosed salary information may be a drawback for many.

About this role

Seeking a Data Scientist for fraud risk mitigation with a quantitative background to ensure data quality in fraud reporting and analysis.

About the Company

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

Key Highlights

✓ Requires a bachelor's degree in a quantitative field.
✓ Involves running data quality checks and documentation.
✓ Focus on fraud reporting and analysis datasets.

💡 Honest Take: While the role offers a chance to work with crucial data, the lack of salary transparency might deter some candidates. the hands-on nature of the job could mean long hours without clear work-life balance.

Pros

✓ Opportunity to work in a growing field.
✓ Hands-on experience with data quality checks.
✓ Engagement in meaningful fraud risk mitigation efforts.

Cons

✗ No salary information provided.
✗ Possible demanding workload.
✗ Limited remote work options.

Best For: Young professionals in Nagpur passionate about data analysis and risk management in finance.

Watch Out: The job's demands may lead to extended hours, and the salary not disclosed could be a concern for many applicants.

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Expert Review

The role of Data Scientist at Applied Data Finance offers a unique opportunity for those passionate about data and fraud prevention. Candidates are expected to have a solid foundation in quantitative fields, as they will conduct data quality checks on fraud datasets. While the position promises engaging work, the workload can be quite intense, especially during high-pressure projects.

One back is the lack of salary transparency, making it hard for applicants to gauge if the compensation meets their expectations. This can be particularly off-putting in a competitive job market where candidates often weigh salary offerings heavily. the role requires on-site presence in Nagpur, limiting flexibility for those seeking remote work arrangements.

It’s these factors before applying, as they can significantly impact job satisfaction and work-life balance.