Senior Fraud Risk Analyst

22 hours ago

Gandhinagar, Gujarat, India beBeeFraudRisk Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Role: Fraud Risk Management Specialist

We are seeking a highly skilled Fraud Risk Management Specialist to play a critical role in designing, developing, and maintaining models to detect and prevent fraud across various financial products and channels.

The ideal candidate will have a strong background in data analysis and machine learning, with experience in building and implementing fraud detection and prevention models using advanced statistical and machine learning techniques.

  • Model Development & Validation: Design, implement, and validate fraud detection and prevention models using advanced statistical and machine learning techniques.
  • Data Analysis & Interpretation: Analyze large-scale transactional and behavioral data to identify fraud patterns, assess model performance, and provide actionable insights.
  • Risk Assessment & Monitoring: Evaluate existing fraud controls, monitor fraud trends, and quantify exposure to evolving threats across digital and traditional channels.
  • Communication & Collaboration: Effectively present analytical findings and model performance to both technical and non-technical stakeholders, including risk management, compliance, and executive leadership.

This role requires a deep understanding of fraud domain expertise and the ability to stay current with the latest fraud schemes, detection technologies, and regulatory developments impacting fraud risk management. The successful candidate will be able to lead fraud analytics initiatives, mentor junior analysts or data scientists, and collaborate with risk, IT, and risk operations teams.

Key Skills:

  • Strong proficiency in Python, SQL, and data science tools
  • Familiarity with real-time decision engines and fraud detection platforms
  • Domain expertise in fraud domain
  • Leadership & Teamwork
  • Problem Solving
  • Adaptability

Qualifications:

  • Bachelor's or Master's degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, Economics, Data Science, or a related field.
  • 6 to 7 years of hands-on experience in a banking environment, specifically in developing, implementing, and maintaining fraud risk models across products and channels.

Responsibilities:

  • Design, develop, and maintain fraud risk models using advanced statistical and machine learning techniques.
  • Analyze large-scale transactional and behavioral data to identify fraud patterns and assess model performance.
  • Collaborate with risk management, compliance, and executive leadership to communicate analytical findings and model performance.

Working Conditions:

  • Work in a fast-paced banking environment.
  • Collaborate with cross-functional teams, including risk, IT, and risk operations.

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