Vice President

Morgan Stanley & Co. LLC seeks a Vice President, Strats in New York, New York

Work on the development of KDB and PyKx data frameworks, to enable real time analytics, high speed data processing and efficient time series data management. Contribute to architecture and implementation of data framework tailored towards data onboarding and utilization. Leverage advanced quantitative modeling techniques to analyze and identify trends in the market data to drive profitability and mitigate risk for trading books. Develop a robust profit and loss attribution engine to enable accurate assessment of trading performance and enhance decision making capabilities for better trading flow management. Develop dynamic dashboards in Python to provide insights into portfolio performance, trading flow analysis and risk exposure, to enable informed decision making for cash traders. Work with the Strats and technology teams to foster innovation and optimize workflow efficiencies to achieve business objectives for Sales and trading teams.

Salary: Expected base pay rates for the role will be between $240,000 and $250,000 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.

Requirements:

Requires a Master’s degree in Information Management, Computer Science, Computer Engineering or a related field and three (3) years of experience in the position offered or three (3) years as an Application Developer, Data Analyst, or a related role. Requires three (3) years of experience with: Python, including NumPy, SciPy, pandas, scikit-learn and keras; Java; KDB/Q; relational databases, including MySQL and Postgres; NoSQL databases, including MongoDB; cloud-based data platform, including Snowflake; building data pipelines with ETL Tools, including Luigi and Apache Airflow; working on real-time streaming data pipelines, including Apache Kafka; Matplotlib, Seaborn, and dynamic plot building; Plotly Dash; Delta One products, including Equities, ETFs, index, and futures; market microstructure and order-flow dynamics; statistical analysis, including hypothesis testing, regression analysis and time series analysis; Machine Learning algorithms including supervised leaning – linear regression, decision trees, random forests and unsupervised leaning – clustering, and dimensionality reductions; market data symbology, pricing data, corporate actions, and event-driven studies; software development life cycle (SDLC); Agile; Git; and Unix/Linux.

Qualified Applicants: To apply, visit us at https://morganstanley.eightfold.ai/careers?source=mscom and enter JR000496 in the search field. No calls please.  EOE

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.

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).