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Vice President, Strats
senior · Data Science & Analytics
Company Profile:
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment, 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.
In the Institutional Equity division, we provide our clients around the world with intellectual insights and innovative product solutions and services that help them generate alpha.
What you’ll do in the role:
Morgan Stanley & Co. LLC is seeking a Vice President, Strats in New York, New York to research new alpha models to implement to improve CRB’s risk management. Manage the team’s infrastructure, setup of servers and new processes, and continuous monitoring. Automate recurrent tasks for sales and trading employees of different desks. Coordinate with Datazone’s team to leverage their tools and infrastructure. Design, Implement, and maintain algorithms and data analysis tools for traders. Create web visualizations and dashboards to help traders understand the system’s behavior, manage system’s properties and limits, and understand market’s flow. Coordinate Machine Learning projects with the Firm’s Machine Learning Research team. Telecommuting permitted up to 2 days per week.
What you’ll bring to the role:
-Requires a Bachelor’s in Computer Engineering, Computer Science, Engineering, or a related field of study.
-Requires three (3) years of experience in the position offered or three (3) years as an Associate, Data Engineer, or a related role.
-Requires three (3) years of experience with the following skills:
- Utilizing Quantitative Portfolio Management with Barra factors, factor modelling, and back testing, simulation;
- Algorithms and data structures using Big O notation, time complexity, sorting algorithms, search, optimization, graph algorithms, Dijkstra, Kruskal, A*;
- Applying Functional programming with recursion, function composition, currying, and side-effects;
- Python;
- Java;
- Kdb/Q;
- Object-oriented programming;
- Evaluating Machine learning using cross-validation, deep learning, time-series forecasting, Natural Language Processing (NLP);
- Data pipelines using ETL, Airflow, Luigi, Data Quality, and Anomaly Detection;
- Implementing Back-end development utilizing APIs, REST, SOAP, FastAPI, Flask, Node.js;
- Front-end development using Angular, jQuery, HTML, CSS, and SCSS;
- Data visualization using Plotly, Dash, and Highcharts;
- Implementing CI/CD pipelines through Jenkins, GitLab, and GitHub;
- Cloud infrastructure including Shell scripting, and Linux;
- Container frameworks for application distribution;
- Container orchestration and cloud applications distribution and management technologies; and
Python backend development frameworks.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 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.
Expected base pay rates for the role will be between $225,000 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.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit : https://www.morganstanley.com/people-opportunities/eeo .