Data Scientist/Gen AI Software Engineering - Vice President - Software Engineering

Job Description

As Vice President - Data Scientist at Morgan Stanley, you will be responsible for designing and implementing complex Machine Learning and Artificial Intelligence models to solve business problems using various Analytical and AI tools. You will work in the Technology division, where innovation drives the connections and capabilities of the firm, redefining markets and shaping the future of communities. Your role will involve developing and maintaining software solutions that support business needs in areas such as Fixed Income, Equities, Commodities, Investment Banking, and more.**Role Overview:**- Communicate regularly with product leads to identify opportunities for improving existing and future technology solutions.- Work independently with Research business and vendors to analyze and define problem statements.- Collaborate with development teams to design and implement solutions and manage product delivery.- Provide technical leadership and vision for software development projects.- Define technical architecture and roadmap for large-scale, mission-critical systems.- Establish and communicate departmental goals aligned with business priorities.**Key Responsibilities:**- Manage multiple functions or guide junior staff and initiatives effectively.- Utilize advanced understanding of business line and discipline with knowledge of the competitive environment.- Design and implement AI/ML models in areas such as Supervised & Unsupervised Learning, Deep Learning (CNN, RNN, LSTM, Transformers), Natural Language Processing, Entity identification/extraction, and knowledge discovery.- Expertise in Python, R, Spark, TensorFlow, Snowflake, Databricks, and other machine learning tools.- Familiarity with noSQL and vector databases, as well as experience in CPU/GPU cloud environments.- Possess excellent communication skills and basic knowledge in finance.- Hold a PhD or Masters degree in Mathematics, Statistics, Data Science, Computer Science, or related fields.- Minimum of 6 years relevant experience expected for this role.**Additional Details of the Company:**Morgan Stanley, a global leader in financial services since 1935, continuously evolves and innovates to better serve clients and communities in over 40 countries worldwide. The firm values putting clients first, leading with exceptional ideas, committing to diversity and inclusion, and giving back to the community. Employees are supported and empowered in a collaborative and diverse environment, with attractive employee benefits and opportunities for career development and growth.For more information about Morgan Stanley and its commitment to diversity and inclusion, visit: [Morgan Stanley Diversity and Inclusion](https://www.morganstanley.com/people-opportunities/eeo) As Vice President - Data Scientist at Morgan Stanley, you will be responsible for designing and implementing complex Machine Learning and Artificial Intelligence models to solve business problems using various Analytical and AI tools. You will work in the Technology division, where innovation drives the connections and capabilities of the firm, redefining markets and shaping the future of communities. Your role will involve developing and maintaining software solutions that support business needs in areas such as Fixed Income, Equities, Commodities, Investment Banking, and more.**Role Overview:**- Communicate regularly with product leads to identify opportunities for improving existing and future technology solutions.- Work independently with Research business and vendors to analyze and define problem statements.- Collaborate with development teams to design and implement solutions and manage product delivery.- Provide technical leadership and vision for software development projects.- Define technical architecture and roadmap for large-scale, mission-critical systems.- Establish and communicate departmental goals aligned with business priorities.**Key Responsibilities:**- Manage multiple functions or guide junior staff and initiatives effectively.- Utilize advanced understanding of business line and discipline with knowledge of the competitive environment.- Design and implement AI/ML models in areas such as Supervised & Unsupervised Learning, Deep Learning (CNN, RNN, LSTM, Transformers), Natural Language Processing, Entity identification/extraction, and knowledge discovery.- Expertise in Python, R, Spark, TensorFlow, Snowflake, Databricks, and other machine learning tools.- Familiarity with noSQL and vector databases, as well as experience in CPU/GPU cloud environments.- Possess excellent communication skills and basic knowledge in finance.- Hold a PhD or Masters degree in Mathematics, Statistics, Data Science, Computer Science, or related fields.- Minimum of 6 years relevant experience expected for this role.**Additional Details of the Company:**Morgan Stanley, a global leader in financial services since 1935, continuously evolves and innovates to be

Keyskills :
TransformersPythonSparkSnowflakenoSQLSupervisedUnsupervised LearningDeep Learning CNNRNNLSTMPromptingHybridRAGChunkingEmbeddingFine Tuning experience with OpenAI modelsopen source LLMsNatural Language Processing Sentiment AnalysisEmbeddin