Data Governance and Analytics Lead

1 month ago

London, Greater London, United Kingdom Interactive Brokers Full time
Job Title: Data Governance and Analytics Lead

Interactive Brokers is seeking a Data Governance and Analytics Lead to join our London office. As a key member of our global model governance and analytics team, you will be responsible for governing, tuning, and recommending changes to our suite of global AML and Sanctions controls across all entities.

Key Responsibilities:
  • Maintain model governance framework and keep all supporting documentation up to date.
  • Interact with key regional heads across different entities to facilitate model risk during all model life cycle stages and ensure effective governance and oversight.
  • Assess model documentation, including development, monitoring design, and implementation documentation, for completeness against established program standards.
  • Perform qualitative and quantitative analysis of financial crime data. Develop codes to perform data analyses using Python and SQL.
  • Perform annual and on-demand AML model tuning and testing for Trade Surveillance, AML, and Sanction models.
  • Validate algorithm and programming spec in Python, SQL, and Java.
  • Recommend calibration and tailoring of monitoring systems to ensure that alerts are generated optimally with an effective balance of false positives based on risk appetite.
  • Support maintenance of documentation about tuning schedules, reports, and data analyses.
  • Perform UAT testing of model changes.
  • Report and track risk coverage gaps through governance activities and milestones.
  • Stay informed on changes in regulations and industry best practices related to AML and Trade Surveillance monitoring.
Requirements:
  • Bachelor's or master's degree in computer science or related field.
  • Strong knowledge of model risk related to AML and Sanctions.
  • Strong analytical and problem-solving abilities.
  • Professional certification in financial crime compliance (e.g., CFE).
  • 5+ years of experience in anti-money laundering risk and mitigation strategies.
  • 5+ years experience developing, testing, tuning, and validating financial crimes models at a financial institution or fintech.
  • Significant years experience in relational databases (Oracle).
  • Strong understanding of Python or similar scripting language with knowledge of AI/ML techniques.
  • Strong team management skills.
  • Ability to work independently and as a team contributor to effectively prioritize tasks in a fast-paced environment.
What We Offer:
  • Career support and development.
  • Salary commensurate with experience.
  • Performance-based discretionary cash bonus scheme.
  • Discretionary stock grant.
  • Group Life Assurance cover.
  • Group Income Protection.
  • Occupation pension scheme based on Gross earnings.
  • Hybrid working model.
  • Above statutory annual leave, increasing with service.
  • Daily company-paid lunch and healthy snack options throughout the day (when working from the office).
  • Access to Private Medical Insurance, Dental Plan, and/or Health Cash Plan (including dependants).
  • Corporate events.
  • Travel season ticket loans.
  • Cycle to work scheme.

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