VP, Financial Crimes Data Science Lead at Morgan Stanley

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Jan, 26

Salary

205000.0

Posted On

04 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Modeling, Behavior Modeling, Data Analysis, Risk Management, Transaction Monitoring, Python Programming, Model Testing, Model Documentation, Financial Crimes, Actimize, Quantexa, Process Definition, Team Collaboration, Cross-Functional Collaboration, Data Evaluation, SDLC Compliance

Industry

Financial Services

Description

- 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. This should align with the business's understanding of underlying client and transaction behavior - 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 - 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 would generally be expected to find the skills required for this role {F Regional insertions e.g., Wage transparency, EEO, Regulatory etc.} [RECRUITER to insert standard disclosures for location and division where applicable] Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Expected base pay rates for the role will be between $120,000 and $205,000 per year at the commencement of employment. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Internal Applicants Internal mobility can be a way to grow your career and realize your professional potential. Typically, you must be in your position for at least 18 months and performing satisfactorily before applying for another job at the Firm. Internal applicants can find out more regarding career navigation, mobility guidelines and policy on our employee portal by clicking here.

Responsibilities

The VP, Financial Crimes Data Science Lead will build statistical and behavior models to detect and investigate potential financial crimes. They will also design custom scenarios and support tuning of transaction monitoring scenarios in Actimize.