- Liaise with Research senior management to ensure strategic business objectives are met
- Work with internal IT, data scientists, modelers and external vendors to ensure solutions are delivered successfully
- Establish stakeholder relationships with Product Team and Analysts
- Work with Risk and Compliance teams to ensure all internal compliance and risk review processes are followed and completed
- As a Product Owner define the product vision, oversee the product development process, work with stakeholder and the development team and other teams in the organization to ensure successful development and launch of their Product
- Initiate technology ideas and experimentation and remain current with technology trends
- Be a champion for the research technology platform to drive adoption
- Excellent organizational, communication, and interpersonal skills
- Data analytical skills
- Experience leading and influencing teams with indirect reporting lines in a matrix environment
- Ability to manage multiple activities to aggressive deadlines
- 5+ years of investment research technology experience
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Investment Research AI Project Lead - Alpharetta, GA, United States - Morgan Stanley
Description
Morgan Stanley is seeking an experienced AI technology leader to represent Morgan Stanley Research AmericasThis role, within the Investment Research division will report into the Global Head of Research AI Technology
They will be responsible for supporting the analyst and client-facing technology platforms for producing research, multi-channel research distribution, advanced CRM systems, AI-driven products and technologies and data analytics
The candidate, with relevant experience, will work closely with Research Analysts, Research Management, data scientists and modelers and the global IT organization to ensure the appropriate regional Research technologies requirements and priorities are met
As a Product Owner, the candidate will identify, evangelize and deliver high ROI projects, to increase the productivity of the Research department globally
The candidate will rely on a solid background in corporate finance, equity valuations and investment research and some understanding of fixed income instruments and markets
The candidate will have data analytics skills and experience with data science, predictive models, AI and NLP-based technologies
The ideal candidate will have a strong background in business analysis and project management, and will be responsible for providing end-to-end product ownership from requirements gathering and analysis through implementation
Responsibilities include:
Skills required
Qualifications
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)