Data Scientist

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.

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.

Department Profile:

Institutional Securities Technology (IST) is a technology division which develops enterprise systems in support of Morgan Stanley's Institutional Securities Group, including Equities, Fixed Income, Commodities, Investment Banking, Research, and Global Capital Markets. 

Morgan Stanley Research Technology is looking for a data scientist to help with designing and implementing complex Machine Learning and Artificial Intelligence models and solving business problems using various Analytical and Big Data tools. The role will require the candidate to work independently with Research business and vendors on analyzing and defining problem statements, and work closely with development teams on designing and implementing the solution and managing the delivery of various products.

The candidate should have the following skills:

> 3+ years of experience in designing and implementing machine learning models in the following areas:

- Supervised & Unsupervised Learning
- Deep Learning (CNN, RNN, LSTM, Transformers)
- Natural Language Processing (Sentiment Analysis, Embeddings, Summarization, Chatbot etc.)
- Entity identification/extraction and knowledge discovery from structured and unstructured content
- Ontology / Knowledge Graph
- NLG / Gathering insights from large volume of unstructured data

> Expert in Python, R, Spark, TensorFlow, SAS, Tableau, and other machine learning/analytical tools

> Familiar with database systems such as DB2, Sybase, and Oracle

> Experience in CPU/GPU cloud environments

> Excellent communication skills and basic knowledge in finance

> PhD (preferred) or Master's degree in Mathematics, Statistics, Data Science, Computer Science, or other related fields

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).

Expected base pay rates for the role will be between $100,000 and $150,000 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.