Address
Form of work
SalaryMy client is a frontrunner in providing technology-driven data/AI solutions to prominent global enterprises, aiming to enhance customer experiences and achieve distinctive outcomes. They offer clients expertise in data, analytics, and AI services, as well as specialized knowledge (SME) and various technology solutions across diverse sectors, including Scholarly Publishing, eLearning/EdTech, BFSI, Healthcare & Life Sciences, Logistics, and Data/Information providers.
Exp: 8+ years
Location: Bangalore, Hyderabad, Kolkata, Chennai, Mumbai, Noida
Shift timing: 1 pm - 10 pm
Mode of work: Hybrid
We are looking for a Data Scientist holding expertise in AI/ML, and Python and who should have worked on Fraud Analytics and risk analysis in banking transactions.
- Perform a comprehensive analysis of transactional data, patterns, and trends to detect possible fraudulent activities, such as the risk of first-party fraud.
- Create and uphold systems and tools for fraud detection, aiming to proactively minimize risks.
- Examine suspicious transactions and activities, identify root causes, and devise strategies and statistical models to prevent future incidents.
- Deploy and oversee technologies and tools for fraud detection, ensuring optimal functionality and efficiency.
- Produce reports and presentations that outline fraud risks, incidents, and strategies for mitigation, to be reviewed by management.
- Collaborate with various teams, including risk management, operations, and compliance, to improve fraud prevention measures.
- Stay informed about industry trends, regulatory changes, and best practices to continuously enhance fraud prevention strategies.
- Apply data analytics tools and methodologies for in-depth assessments, generating reports on trends in first-party fraud and potential vulnerabilities.
