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.
Data Scientist, Fraud Risk Mitigation
Applied Data Finance
Updated 9 hours agoYou'll be redirected to in.talent.com
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.
You'll be redirected to in.talent.com
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.
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