BNP Paribas-posted 3 months ago
$120,000 - $185,000/Yr
Full-time • Mid Level
Jersey City, NJ
Credit Intermediation and Related Activities

The U.S. Financial Security Transaction Monitoring Optimization Department's AML Business Analyst - Data Scientist is responsible for tuning and optimization, develop AI/ML based AML solutions, capturing business requirements, assisting on the user acceptance testing of a variety of platforms including Actimize based AML monitoring models, as well as, various other AML, KYC, and Sanctions systems as required. Act as a Business/Systems Analyst, Specification Writer, Implementation Support Resource and Subject Matter Advisor, engaging a diverse set of Business groups (Compliance, Business, Risk, etc.) and Technology groups to deliver solutions for Financial Compliance/Regulatory Reporting needs.

  • Perform statistical analysis to tune and optimize thresholds and alert scores for new model implementations and existing models including but not limited to negative testing, hypothesis testing, various regression analysis techniques, clustering analysis, tests for activity and behavior variances and other sensitivity and productivity analyses.
  • Develop Artificial Intelligence/Machine learning based AML solutions and calibrate them on a regular interval.
  • Make recommendations to improve AML monitoring by conceptualizing and developing new risk models or alternative mechanisms like reports and Operational-Controls to address emerging trends and red flags and to mitigate potential risks arising from the use of existing ones used for transaction monitoring.
  • Evaluate existing models and scenarios; conducting model and scenario tuning, optimization and validation.
  • Rationalize and document business rules, thresholds, parameters and scoring methodology of the system.
  • Conceptualize and develop new rules/models to address emerging trends and red flags.
  • Partner with various teams within Compliance, Risk and IT globally for project implementation, to assess impact across the program and to ensure consistency in AML processes without compromising on local coverage requirements.
  • Ensure detailed and exhaustive testing of both data and display through UAT test plans, scenarios, scripts and procedures based on business requirements and/or functional specifications of various AML reports, platforms and systems.
  • Ensure that governance and control-oversight framework (including RACI) are being adhered to in BAU tasks as well as ongoing projects; propose and implement if the framework doesn't exist.
  • Bachelor's degree (or beyond) with outstanding academic credentials
  • 5 - 8 years of relevant industry experience
  • Professional experience at a large financial institution or financial services data types
  • Understanding of statistics, different distributions, hypothesis testing, regression etc.
  • Self-sufficiency in SQL (functions, procedures and packages)
  • Data analytics and mining
  • Excellent Analytical, oral and written communication skills-the ability to communicate with varied audiences and stakeholders (IT, senior management, etc.)
  • Excellent interpersonal skills necessary to work effectively with colleagues
  • AML Data Analytics/science professional that can apply data analysis and statistical modeling techniques to improve a business process and present recommendations, not just results, in a non-technical, business-friendly way for consideration by Compliance senior management stakeholders
  • Experience with data visualization tools like Tableau, Spotfire, Qlikview, Power BI
  • ACAMS certified
  • Experience with AML transaction monitoring tools like Actimize, Mantas, Norkom etc.
  • Good understanding of AML processes and relevant regulatory issues
  • Must possess the ability to research and resolve issues independently while working across teams to acquire information
  • Ability to manage multiple priorities and tasks with the skills to adapt to changes in a fast-paced environment
  • Medical, dental and vision coverage
  • 401(k) Savings Plan
  • Backup childcare
  • Life, accident and disability insurance
  • Mental health support
  • Paid time off
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