VP, Financial Crimes Data Science Lead

Morgan Stanley • New York, NY

77d • $120,000 - $205,000

About The Position

We are seeking someone to join our team as a Financial Crimes Data Science Lead in NFR Data & Analytics Department to build transaction monitoring models and investigative analyses for effective monitoring of Financial Crimes risk by the Firm. In the Legal & Compliance division, we assist the Firm in achieving its business objectives by facilitating and overseeing the Firm's management of legal, regulatory and franchise risk. This is a Vice President level position within the NFR Data & Analytics, a function in the Legal and Compliance Division, is responsible for designing and optimizing surveillance models, approaches, and tools using advanced analytical techniques like supervised and unsupervised machine learning, and evolving techniques like graph analytics. These surveillances and other tools help identify suspicious and/or illegal behaviors such as money laundering, market manipulation, insider trading, unfair sales or trading practices, and other financial crimes.

Requirements

• Bachelor's degree in quantitative fields like Statistics, Operations Research, etc.
• Extensive hands-on industry experience in financial crimes modeling and analytics
• Experience with Transaction Modeling vendor products like Actimize, Quantexa etc.
• Hands on programming experience in Python with data at scale
• Experience in defining processes and workflows and managing their ongoing maintenance
• Ability to work in a team environment, balance participation on multiple projects and resolve conflicting priorities
• Ability to collaborate with global, cross-functional teams across multiple projects
• At least 8 years' relevant experience

Responsibilities

• Build statistical and behavior models to detect and investigate transactional behavior indicative of potential Financial Crimes
• Design custom scenarios and support tuning of transaction monitoring scenarios in Actimize
• Provide support for GFC data analysts to identify, assess, and manage risk by evaluating large data sets using various statistical tools
• Enhance proficiency in data related to Financial Crimes to ensure consistent results across analyses conducted by end users in automated surveillance or reporting
• SDLC compliant model testing and deployment of the models in collaboration with Technology team
• Create extensive model documentation including back testing, sensitivity analyses, productivity assessments and work with Model risk management for successful independent validation of the models

Benefits

• Comprehensive employee benefits and perks
• Opportunities for career advancement within the company
• Support for employees and their families at every point along their work-life journey

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Industry: Securities, Commodity Contracts, and Other Financial Investments and Related Activities
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees