Director, Production Management at Morgan Stanley

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Jan, 26

Salary

0.0

Posted On

25 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Models, Machine Learning Techniques, Deep Learning Algorithms, Natural Language Processing, Data Pre-Processing Techniques, Business Intelligence Tools, Cloud Computing, Python, SQL, Robotic Process Automation, Predictive Analytics, Database Management, Project Management, Financial Modeling, Risk Analysis, Market Research

Industry

Financial Services

Description

Build business cases to accelerate the evolution of firm wide digital strategy and AI innovations. Provide strategic recommendations to internal senior leadership and external clients. Provide analysis with a focus on gaining context to enable informed decision making within Technology, Business, and Operations. Assist in identifying and mitigating risks associated with AI projects and operations. Requires a Bachelor's degree in Operations Research, Engineering, or a related field of study and two (2) years of experience in the position offered or two (2) years as an Data Scientist, Machine Learning Engineer, or a closely related occupation. Requires two (2) years of experience with: AI models and their applications in the financial services industry; machine learning techniques; deep learning algorithms; natural language processing; data pre-processing techniques; business intelligence tools including Tableau, and PowerBI; cloud computing and cloud architecture including AWS, and Azure; AI deployment and scaling in enterprise; Fintech; Python; SQL; enterprise model risk management; enterprise technology system requirement gathering and assessment; robotic process automation; working with large structured and unstructured datasets; predictive analytics and modeling; database management and frameworks; legal, regulatory and compliance in technology and financial services industry including GDPR, and CCPA; product lifecycle management; project management including Agile, and Scrum; Microsoft Excel; VBA; financial modeling; strategic planning; vendor assessment and management; innovation scouting; technology due diligence; market research and analysis; process mapping and analysis; risk analysis and management. Qualified Applicants: To apply, visit us at https://morganstanley.eightfold.ai/careers?source=mscom enter JR000400 in the search field. No calls please. EOE 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. 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.

Responsibilities

The Director of Production Management will build business cases to enhance the firm's digital strategy and AI innovations while providing strategic recommendations to senior leadership and clients. The role involves analyzing data to support informed decision-making and managing risks associated with AI projects.