We offer:

• To work with some of the best professionals in the business - for a firm that values individual intellect as much as teamwork
• State-of-the-art offices that are designed to maximize collaboration
• Flexible working arrangements
• Enriching challenges that provide opportunity for constant learning and advancement
• An environment which is leveraging technology to its highest potential

Team Profile:

Institutional Securities Technology (IST) develops and oversees the overall technology strategy and bespoke technology solutions to drive and enable the institutional businesses and enterprise-wide functions. Our clients include Fixed Income, Equities, Commodities, Investment Banking, Research and Global Capital Markets.

Position:

Morgan Stanley is seeking a collaborative, hands-on Senior Python developer to contribute to the build out of our strategic Data Science platform for researchers, financial engineers, quants, and strategists. We are seeking a senior developer, passionate about good practices, testing, ensuring code quality, and using reusable design patterns in order to expand and consolidate a robust and performant framework.

This is a rapidly-growing and high-priority area, and the growth in users and user-cases has warranted the investment from the business to greatly expand the team globally. You will work closely with quants and traders on multiple trading desks to design, develop, deploy and support a platform answering to the business needs of varied stakeholders and use-cases within the entire firm. You will work within a global team in an agile environment, so strong communications skills are very important. As the framework grows, the business stakeholders will grow as well.

Skills Required:

• Experience developing & designing systems in Python that work with large datasets
• Experience with using libraries such as numpy and pandas or others to work with large datasets in a performant way
• Focused on engineering excellence – building software and systems that scale through a focus on automated testing, code quality, and continuous deployment
• Solution-oriented and can work with the business to build scalable solutions to business needs
• Thorough understanding of programming fundamentals such as OOP, data structures and algorithm design
• Strong enthusiasm for code quality, and desire to build long-standing and stable systems
• Strong communication skills, both technical and otherwise, that can be leveraged to collaborate with a diverse set of stakeholders

Nice to have:

• Track record working in front-office environment with trading and quantitative strategists
• Knowledge of, or interest in equities / options / futures / ETF / structured products
• Knowledge of, or interest in fixed income products and data / FX / rates / bonds

• KDB knowledge or experience with another high-performance timeseries database
• Experience in designing parallelizable computational code
• Knowledge of common python data engineering stack, such as scheduling tools

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 $140,000 and $200,000 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.