Senior Leader Analytics Specialist

19 hours ago

Vadodara, Gujarat, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

About this role:

This leadership position is part of the global financial crimes division operations function, established to build and lead the intelligence & analytics capabilities.

The new hire will be responsible for enhancing the effectiveness, efficiency, and risk mitigation capabilities of a transaction monitoring program. This role plays a critical part in ensuring a consistent and continuously improving approach to financial crime prevention.

Main Responsibilities:

  • Provide strategic direction and day-to-day leadership to a team of analysts and specialists.
  • Oversee threshold tuning, rules optimization, and platform enhancements to improve transaction monitoring analytics and performance.
  • Guide the creation and execution of test cases and scripts for system changes and releases.
  • Supervise the development of tailored business rules to reduce false positives and improve operational efficiency.
  • Lead periodic assessments of screening algorithms and rules to identify and mitigate anti-money laundering risks.
  • Ensure the production of meaningful reports and dashboards for senior management using data visualization tools.
  • Direct the design and execution of sampling and statistical testing to validate model effectiveness.
  • Coordinate with teams to implement and maintain a globally consistent model.
  • Collaborate across functions to ensure clearly defined roles, responsibilities, and seamless operations.
  • Support the development and implementation of policies governing the sanctions screening lifecycle.
  • Expertise in tm model design and tuning/optimization, including rule tuning, threshold calibration, and effectiveness testing.
  • Strong quantitative background with applied experience in statistics, data analysis, and model validation.
  • Proficient in programming languages for data extraction, transformation, and analysis.
  • Hands-on experience with financial crime detection platforms.
  • Solid understanding of regulatory expectations.
  • Experience leading model governance activities, including documentation, validation, and performance monitoring.
  • Skilled in developing and testing analytical methods for emerging financial crime risks.
  • Strong leadership and project management capabilities in regulated environments.
  • Effective communicator with experience presenting technical findings to senior leadership.

Candidate Profile:

Skills and knowledge:

Education & professional qualifications:

  • Bachelor's degree required, advanced degree in statistics, data science, or related field preferred.
  • 15+ years in BSA/AML model design, testing, tuning, or validation.

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