Senior Data Scientist - Machine Learning Expert

Given the continued spread of COVID-19 (coronavirus), all interviews will be conducted by phone or virtual connection to protect our candidates and employees.

We offer:
•    To join the best talent to bring ideas, innovation, and passion 
•    Work directly with senior management from various business unit
•    The ability to grow and shape your own career 
•    Collaborative creative environment
•    Working on real business problems

You will:
•    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.

You have:
•    A Master’s (PhD can be a plus) degree in Computer Science, Engineering, Mathematics, or a related quantitative field. 
•    At least 4 years of professional experience in Machine Learning.
•    Demonstrated breadth and depth in knowledge and applications of machine learning algorithms in classification, regressing, recommender systems, clustering, deep learning.
•    Proficiency in autonomously conducting applied ML research with commercial applications.
•    Proficiency in Python, SQL, Pyspark.
•    Experience with cloud computing platforms such as Databricks, AWS, DataIku.
•    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 Recommender systems, Transformers, GNN
•    Familiarity with Deep Learning frameworks such as Pytorch, Keras, Tensorflow.

About Analytics & Data:

The Machine Learning organization in the Wealth Management (WM) Analytics, Data & Innovation (AD&I) organization at Morgan Stanley works on a breadth of applied research areas including but not limited to recommender systems, client personalization, marketing propensity models, asset and client attrition models, and natural language understanding. We provide machine learning solutions to a breadth of our internal stakeholders in wealth management. Our ML scientists ideate, innovate, design, prototype, and ship ML solutions delivering delightful new experiences to 15Million+ WM clients.

About us:
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries. 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. Morgan Stanley 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.
Wealth Management provides a range of wealth management products and services for individuals, businesses and institutions through 15,000 advisors managing and advising $2 trillion of client assets. The group's services include brokerage and investment advisory, financial and wealth planning, credit and lending, cash management, annuities and insurance, retirement, trust and estate planning, stock plan administration and institutional consulting.
At Morgan Stanley Budapest, we are shaping the future of our global business and contributing to our local community. Our team works across numerous areas, including Technology, Mathematical Modeling, Finance, Risk Management, Operations and Data & Analytics from our new state-of-the-art offices near the Danube and our City Gate office in the heart of the city center.
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.
Learn about our culture and the opportunities for professional growth at Morgan Stanley Budapest:
Build a career with impact. Visit morganstanley.hu or LinkedIn for more information.

Learn about our culture and the opportunities for professional growth at Morgan Stanley Budapest: