Machine Learning, Assistant Vice President

• 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.

• Masters 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

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley we raise manage and allocate capital for our clients helping them reach their goals. We do it in a way thats differentiated and weve done that for 90 years. Our values - putting clients first doing the right thing leading with exceptional ideas committing to diversity and inclusion and giving back - arent just beliefs they guide the decisions we make every day to do whats best for our clients communities and more than 80000 employees in 1200 offices across 42 countries. At Morgan Stanley youll 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. Theres also ample opportunity to move about the business for those who show passion and grit in their work.

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Expected base pay rates for the role will be between $85000 and $140000 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 is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion where individuals are hired developed and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate bringing a variety of backgrounds talents perspectives and experiences.

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