Data Scientist, Fraud Risk Mitigation
Applied Data Finance
Join Applied Data Finance as a Data Scientist to analyze fraud trends and support fraud strategy development across consumer lending portfolios.
Last checked on September 10, 2026. We may earn a commission when you click through.
Data Scientist, Fraud Risk Mitigation
Applied Data Finance
Updated 20 hours agoYou'll be redirected to in.talent.com
A for experienced data scientists looking to make an impact in fraud mitigation. However, the role's focus on analytics may not appeal to those seeking broader responsibilities.
About this role
Join Applied Data Finance as a Data Scientist to analyze fraud trends and support fraud strategy development across consumer lending portfolios.
About the Company
Applied Data Finance specializes in innovative financial solutions, focusing on data-driven approaches to mitigate fraud risks.
Key Highlights
- ✓ Support fraud strategy development and analytics.
- ✓ Analyze fraud trends and monitor performance.
- ✓ Collaborate with senior team members on projects.
- ✓ Engage in operational monitoring across portfolios.
💡 Honest Take: This role promises a deep dive into fraud analytics but may involve navigating complex datasets. The work environment is data-intensive, which may not suit everyone's preferences for varied tasks.
Pros
- ✓ Engaging work in fraud risk mitigation.
- ✓ Opportunity to collaborate with a senior team.
- ✓ Focus on data analytics and trend analysis.
Cons
- ✗ Potentially narrow focus on fraud analytics.
- ✗ May require extensive data handling.
- ✗ Remote work not available.
Best For: Experienced professionals in data science who are keen on tackling fraud issues in consumer lending.
Watch Out: The role is not remote, which may limit flexibility for some candidates.
You'll be redirected to in.talent.com
Expert Review
This position requires a strong analytical background, particularly in fraud trends. Candidates will need to be comfortable working with large datasets and providing insights that can influence fraud strategies. While there is potential for impactful work, a clear understanding of the company's operational dynamics and expectations is essential.
The team environment at Applied Data Finance is collaborative, but the focus on analytics may not suit everyone. Those who thrive on a variety of tasks might find the specialized nature of this role somewhat limiting.
Without a disclosed salary range, candidates should be prepared for negotiations. Understanding the company culture and expectations can also play a crucial role in job satisfaction. For further details, visit the official job listing at Applied Data Finance.
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