Lead Data Scientist, AML Analytics

Role Overview

As a Lead Data Scientist, Global AML Transaction Monitoring, you will develop and maintain efficient and effective AML/ATF Transaction Monitoring models that considers regulatory expectations, industry trends and innovation opportunities.

What You Will Do

Develop, tune, and maintain existing AML Transaction Monitoring machine learning, rule-based solutions, develop new AML Transaction Monitoring solution using data science techniques, and create and document model performance metrics.

Why It Might Be a Fit

Must have 5+ years of experience conducting in-depth data analytics, university or Master degree in an analytical field of study, and expertise in analyzing and manipulating large datasets with Python and Scala/Spark.

Requirements

• 5+ years of experience conducting in-depth data analytics
• University or Master degree in an analytical field of study (e.g. Computer Science, Engineering, Mathematics, Statistics, or related quantitative field)
• Expertise in analyzing and manipulating large datasets with Python and Scala/Spark
• Proficiency and familiarity with different SQL, Hive databases and GitHub
• Strong capability in exploratory data analysis and feature development
• Understanding of AML and Financial Crime Fundamentals
• Strong solution-oriented mindset, capable of synthesizing technical, operational and business context into clear understanding of how models operate
• Exceptional attention to detail across documentation, testing artifacts, and quantitative analysis
• Strong written and verbal communication skills; capable of explaining model risk analytics findings to both technical and non-technical stakeholders, as well as tell stories with data meaningfully
• Understands project’s needs and ability to translate these into detection models

Benefits

• Comprehensive Total Rewards Program including bonuses and flexible benefits
• Competitive compensation
• Commissions
• Stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• A world-class training program in financial services
• Opportunities to do challenging work
• Opportunities to take on progressively greater accountabilities
• Opportunities to building close relationships with clients
• Access to a variety of job opportunities across business and geographies

Tagged as: Data Analysis, Python, SQL