Morgan Stanley is seeking to build transaction monitoring models and investigative analyses for effective monitoring of Financial Crimes risk by the Firm.
Requirements
- 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
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
Other
- Bachelor's degree in quantitative fields like Statistics, Operations Research, etc.
- At least 8 years' relevant experience
- 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
- Commitment to diversity and inclusion
