Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services.

As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. We can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

The Machine Learning team in the Wealth Management (WM) Analytics & Data (A&D) organization at Morgan Stanley is dedicated to delivering machine learning solutions to a wide range of internal stakeholders in wealth management. Our team specializes in a variety of applied research areas, including recommender systems, client personalization, marketing propensity models, and asset and client attrition models. We provide machine learning solutions to a diverse group of internal stakeholders, delivering delightful new experiences to over 15 million WM clients.

You will:

• Design and develop end-to-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.
• Create presentations to effectively showcase modelling results to stakeholders and the team.
• Deploy the machine learning models in production environments, in collaboration with the MLOps team, and monitor their performance.
• Participate in code reviews from both sides of the process.

You have:

• Proficiency in Python and strong knowledge of SQL.
• At least 1-2 years of professional experience in Machine Learning models development.
• Degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
• Demonstrated breadth and depth in knowledge and applications of machine learning algorithms in classification, regression, recommender systems, clustering, deep learning.
• Experience communicating with business stakeholders.
• Confident in English (both written and spoken), with solid presentation and communication skills.

#LI-hybrid #LI-NB1 BPDBA

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.

Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.