May 9, 2022
Europe, Middle East, Africa-United Kingdom-United Kingdom-London
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 talent
Morgan Stanley is seeking a collaborative, hands-on Python developer to help build out its global data science environment for quants, sales and trading. 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, with key hiring done in London. You will work closely with quants and traders on multiple trading desks to design, develop, deploy and support the innovative data science environment that utilizes the latest Python ecosystem. You will work within a global team in an agile environment, so strong communications skills are very important.
- Experience developing & designing data-driven systems in Python
- Python data engineering stack including libraries such as Flask / Numpy / Pandas / Dask / Plotly / Jupyter
- Full stack HTML5 Web development experience
- KDB knowledge or experience with another high-performance timeseries database
- Experience with financial concepts such as equities / fixed income / options / futures