Machine Learning, Assistant Vice President at Morgan Stanley

Jersey City, New Jersey, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Mar, 26

Salary

140000.0

Posted On

02 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Algorithms, Python, C++, MLOps, A/B Testing, Data Structures, Deep Learning, Cloud Technologies, Big Data, Graphical Neural Networks, Reinforcement Learning, LLMs, Transformer Models, Recommender Systems, Code Versioning

Industry

Financial Services

Description

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. 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. 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. 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. 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. Please visit mybenefits.morganstanley.com to learn more about our benefit offerings. 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

Design and develop end-to-end machine learning solutions for Wealth Management. Collaborate with various teams to validate and deploy models, ensuring their performance and reliability.