Vice President - Data Analytics & Transaction Monitoring Tuning/Optimization

Job Title: Senior Financial Crime Analytics Team Lead

Department: Global Financial Crimes Division (GFCD)

Purpose of Role:

Lead a technical team leveraging Actimize and Databricks to enhance transaction monitoring (TM) and customer risk rating (CRR) capabilities through advanced analytics. Drive data-driven solutions at the intersection of compliance, data science, and technology to combat financial crime.

Key Responsibilities:

- Strategize team initiatives aligned with global financial crime program goals.

- Manage project timelines and deliverables for analytics projects.

- Coordinate with global stakeholders (Americas, EMEA, APAC, Japan) to support regional financial crime offices.

- Design/implement TM/CRR tuning methodologies (scenario analysis, threshold optimization, ATL/BTL sampling).

- Lead end-user adoption of Databricks for analytics, tuning, and optimization.

- Supervise exploratory data analysis (EDA) and insight communication to stakeholders.

- Develop machine learning strategies for financial crime detection and anomaly identification.

- Build sustainable data pipelines/ETL processes using Python, R, Scala, and SQL.

- Maintain utilities for TM optimization while ensuring data integrity and security compliance.

- Collaborate with data governance, reporting, and operational teams.

Requirements:

Technical Skills:

- Expertise in Actimize for transaction monitoring/sanctions screening.

- Advanced proficiency in Python, Scala, SQL, and Databricks/Apache Spark.

- Experience with Delta Lake, real-time data streaming, and ML model governance.

- Preferred certifications: Databricks Data Analyst/ML Associate/Data Engineer Associate.

Additional Skills:

- 15+ years in financial crimes analytics within banking/financial services.

- Experience interfacing with banking regulators.

- Strong project management and cross-functional collaboration abilities.

- Ability to translate technical insights for non-technical stakeholders.

- Knowledge of financial crimes risk frameworks and regulatory balancing.

- Proficiency in data visualization and statistical problem-solving.

Education: Bachelor's degree in Computer Science, Information Systems, IT, or related field.