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VP Financial Crime Risk - Transaction Monitoring Control Owner

barclays · Geneva

Nouveau
Senior 🇬🇧 English
Python SQL Machine learning Transaction monitoring Fraud detection

Description du poste

About the role

Barclays is looking for a Vice President Financial Crime Risk, Transaction Monitoring (TM) Control Owner in Geneva. This is a high-impact role at the intersection of financial crime risk, automated detection and advanced model development, responsible for robust TM controls across business lines, the evolution of automated monitoring and the oversight of model performance, data quality and optimisation.

Key responsibilities

  • Design, develop, implement and maintain statistical, mathematical and machine learning models supporting analysis and decision-making.
  • Collect data from internal databases, external datasets and real-time feeds, clean and preprocess it, and design data management strategies for model maintenance.
  • Build and run models for credit risk, fraud detection, customer segmentation and marketing optimisation, and monitor them in real time for issues or bias.
  • Lead training, mentoring and knowledge sharing to raise ML capability, and evaluate emerging technologies and AI tools.
  • Set strategy, plan resources and budgets, manage policies and processes, and advise functional and senior management on cross-functional impacts.
  • Manage and mitigate risk, strengthen controls and collaborate with business-aligned support areas.

Required profile

  • Proven expertise in automated transaction monitoring systems, including model development, optimisation and performance management.
  • Advanced analytical skills, with experience resolving data integrity and data quality issues.
  • In-depth knowledge of transaction monitoring frameworks and regulatory expectations.
  • Exceptional stakeholder management, able to influence and collaborate at senior levels.
  • Leadership and accountability for risk and controls, and a deep understanding of the organisation's functions.

Required skills

  • Coding proficiency (e.g. Python, SQL).
  • Project management experience in financial crime or risk domains.
  • Familiarity with machine learning or AI tools in TM or fraud detection.
  • Recognised financial crime qualifications (e.g. ICA, ACAMS).
  • Experience engaging and managing regulatory functions.

Questions fréquentes

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Source : ats:workday

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barclays

Geneva