Fixed Income Desk Strategist / Quantitative Developer

  • Competitive
  • New York, NY, USA
  • Permanent, Full time
  • Morgan Stanley USA
  • 19 Sep 17

Fixed Income Desk Strategist / Quantitative Developer

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.

Team Profile:
Morgan Stanley's Cross-FID strategists are a growing, business-aligned team that focus on real-time tools for traders and salespeople in the Fixed Income Division. This global, multi-disciplinary team uses a combination of modern technology and quantitative techniques to provide business-critical portfolio and market analysis. Our main platform has a HTML5/Angular.js front end, and runs analytics and visualizations over data streamed from our kdb+/python infrastructure and other internal systems.

Role Profile:
The Fixed Income Strategists Group is looking to hire a highly motivated, technical individual with significant experience in the front office.
You will be expected to partner closely with traders, salespeople, fellow strategists and IT groups to deliver
solutions that benefit the Fixed Income business.
You will have a successful track-record of delivering innovative multi-tier business-critical solutions.
You will be experienced in analyzing data to dig into business problems and to create visualizations that enable users to gain business insights
You will build tools and analytics to help price deals, analyze risk and identify market opportunities.
You will be seated on the trading floor and therefore should be comfortable working in a fast paced environment, multitasking, and prioritizing accordingly.

Qualifications:

Skills required
Bachelor's degree or higher in computer science, engineering, physics or related discipline
Commercial experience of Q/KDB
Commercial experience of HTML5, JavaScript, AngularJS
Knowledge of C++, Java or Scala would be advantageous
Time series analysis and machine learning experience would be advantageous
Experienced in both Linux and Windows environments
Experience of a financial trading environment is preferred.
Knowledge of fixed income products is not required, though candidates must demonstrate ability and desire to learn.