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.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you'll do in the role:

- 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

What you'll bring to the role:?

- 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.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. 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. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. 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. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. 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.

Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).