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.
Global Capital Markets
When clients need capital, Global Capital Markets (GCM) responds with market judgments and ingenuity. Whether executing an IPO, a debt offering or a leveraged buyout, GCM integrates Morgan Stanley's expertise in Sales and Trading and Investment Banking, offering clients seamless advice and sophisticated solutions. GCM originates, structures and executes public and private placement of equities, investment-grade and noninvestment-grade debt and related products. The group provides fresh ideas and broad distribution to help clients get the most out of each stage of a transaction, and continually develops capital markets solutions to enable clients to mitigate strategic, operational, credit and market risks.
GCM Strats in New York Office, which provide revenue-generating activities centered on financial analytics, are looking for a highly talented and motivated data solution architect with 6+ years of experience. The candidate will be building and maintaining data-driven analytics and platforms that identify and analyze business opportunities across capital market and lending business.
An ability to partner with fellow strats, bankers and traders to quickly grasp business requirements and respond to economic, market, corporate and regulatory events with agility
Expert knowledge to implement front-end/back-end solutions for data-driven analytics and platforms such as automated screening systems, browser-based analytics and text-mining algorithms
Experience with large-scale data (market, fundamental, structured and unstructured data) modeling
Database fluency and good understanding of Q/KDB+, SQL, Linux, and high level languages for data analysis and modeling, especially Python and R
Self-starter and collaborator
A master's degree in a quantitative discipline with at least 6 years of related experience
Possess good understanding of capital market and lending business
Working knowledge of X42 (for internal candidates) would be a plus.