Senior Data Scientist – Python, PySpark & Databricks

Reporting to the Senior Advanced Analytics Manager, the Data Scientist will be conducting all analytical activities related to FCRM transaction monitoring systems.

• Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
• Provide maintenance of transaction monitoring scenarios, and analytical queries in support of the bank's strategic efforts to mitigate money laundering and terrorist financing risk
• Conduct activities related to AML/ATF scenario performance tuning, machine learning execution and model performance monitoring
• Help maintain a structured documentation process to demonstrate an effective scenario review program to satisfy audit, compliance, and regulatory requirements
• With assistance from management, assist with transaction monitoring related issues/questions from Global AML members, audit, and other partners
• Analytical thought leadership and staying ahead of developments in data mining and the application of data science
• Partner with FCRM teams to implement changes to existing solutions and/or the implementation of alternative solutions and serve as an ambassador for data science
• Use statistical and machine learning techniques to build and maintain effective and efficient transaction monitoring, customer behavior, and risk scoring models
• Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work you're doing
• Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
• Work with various business teams to help identify areas for improvement and provide insights using supporting data and models to support business strategies.

MUST-HAVE Hard Skills:

• 1.) Extensive work experience building predictive models with machine learning methods.
• 2.) Expert knowledge of Python, Pyspark, Data Bricks, Azure and SQL are essential
• 3.) Expert data explorations and analysis skills
• 4.) Ability to apply statistical techniques and data mining tools to solve business problem

NICE-TO-HAVE

• 1.) Any Data bricks, programming or statistics certifications
• 2.) Java, Scala, tableau
• 3.) AML knowledge and experience on data-driven or data-centered projects
• 4.) Banking or financial institution experience