Machine Learning, Assistant Vice President position at Morgan Stanley.| United States Of America

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Morgan Stanley Machine Learning, Assistant Vice President

Experience: 3-years

Pattern: full-time

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Jersey City, N..........United States Of America

The Machine Learning team in the Wealth Management (WM) Strategy & Analytics division at Morgan Stanley works on a breadth of applied AI research areas including but not limited to recommender systems, client personalization, graphical neural networks (GNNs), and natural language understanding/LLMs. We provide machine learning (ML) solutions to our internal stakeholders across all our clients channels (Advisor-led, Workplace, and Self-directed) and Product organizations (Investment Solutions, Bank) as well as functions (Marketing, Risk). Our ML scientists ideate, innovate, design, prototype, and ship ML solutions delivering delightful new experiences to 20M+ WM clients. Responsibilities Design and develop end-2-end machine learning solutions to address business opportunities in Wealth Management, delivering tangible business outcomes. Strive to develop and experiment with State-of-the-Art algorithms. Validate the machine learning models in collaboration with the validation team to ensure the accuracy and reliability of ML models. Deploy the machine learning models in production environments, in collaboration with the MLOps team, and monitor their performance. Conduct A/B tests to demonstrate efficacy of ML solutions. Participate in code reviews from both sides of the process. Build, grow, and establish partnerships with business stakeholders, marketing as well as with our Risk, Legal, and Compliance divisions. Create presentations to effectively showcase modelling results to stakeholders and the team. Qualifications Master’s or a PhD degree (preferred) in Computer Science, Engineering, Mathematics, Physics, or an equivalent quantitative field. At least 3 years of professional experience in Machine Learning. Demonstrated breadth and depth in knowledge and applications of machine learning algorithms in classification, regression, recommender systems, clustering, deep learning Proficiency in autonomously conducting applied ML research with commercial applications. Proficiency in at least one of the modern programming languages (Python, C++, or a related language). Experience with code versioning systems such as Github, Bitbucket, and experiment tracking systems like MLFLow. Proficiency with computer science fundamentals in object-oriented design, data structures, and algorithmic design. Experience communicating with business stakeholders. Proficiency in English. Preferred Experience with Cloud or Big Data technologies such as Azure, AWS, Google Coud, Hadoop, or an equivalent Familiarity with Deep Learning frameworks (PyTorch, Tensorflow, PyTorch – Geometric, or equivalent). Experience with Graphical Neural Networks, Reinforcement Learning, LLMs, Transformer based Models, or Recommender Systems is a plus. Track record of publishing in peer-reviewed scientific journals. 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. NJ - Salary range for the position: 85,000 - 140,000 Yr. The successful candidate may be eligible for an annual discretionary incentive compensation award. The successful candidate may be eligible to participate in the relevant business unit’s incentive compensation plan, which also may include a discretionary bonus. Morgan Stanley offers a full spectrum of benefits, including Medical, Prescription Drug, Dental, Vision, Health Savings Account, Dependent Day Care Savings Account, Life Insurance, Disability and Other Insurance Plans, Paid Time Off (including Sick Leave consistent with state and local law, Parental Leave and 20 Vacation Days annually), 10 Paid Holidays, 401(k), and Short/Long Term Disability, in addition to other special perks reserved for our employees. Please visit mybenefits.morganstanley.com to learn more about our benefit offerings. 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).

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Machine Learning, Assistant Vice President job opportunity at Morgan Stanley.

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