Quantitative JAVA / Python Developer

  • Competitive
  • New York, NY, États-Unis
  • CDI, Plein-temps
  • Morgan Stanley USA
  • 19 avr. 19

Quantitative JAVA / Python Developer

Company Profile

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. Technology works as a strategic partner with Morgan Stanley business units and the world's leading technology companies to redefine how we do business in ever more global, complex, and dynamic financial markets. Morgan Stanley's sizeable investment in technology results in quantitative trading systems, cutting-edge modeling and simulation software, comprehensive risk and security systems, and robust client-relationship capabilities, plus the worldwide infrastructure that forms the backbone of these systems and tools. Our insights, our applications and infrastructure give a competitive edge to clients' businesses and to our own.

Technology

Technology works as a strategic partner with Morgan Stanley business units and the world's leading technology companies to redefine how we do business in ever more global, complex, and dynamic financial markets. Morgan Stanley's sizeable investment in technology results in quantitative trading systems, cutting-edge modeling and simulation software, comprehensive risk and security systems, and robust client-relationship capabilities, plus the worldwide infrastructure that forms the backbone of these systems and tools. Our insights, our applications and infrastructure give a competitive edge to clients' businesses and to our own.

MS Investment Management Technology (IMIT)

Morgan Stanley Investment Management Technology exclusively partners with the Morgan Stanley Investment Management business division to design and develop systems and integrate vendor products to globally support full life cycle business processing. Activities include Portfolio Analysis, Risk, Trading, Operations, and Sales & Marketing. Morgan Stanley Investment Management (MSIM) Technology also provides holistic support and quality assurance across the suite of applications used in the MSIM environment.

Opportunity with the Team

Morgan Stanley Investment Management is one of the largest asset managers in the world. It offers a wide range of products and services, including a large family of domestic and international Equity, Fixed and Multi-asset class funds for individual and institutional investors. With over 30 years of global investment experience, IM offers its clients the personalized attention and service of a boutique, the intelligence and creativity of some of the brightest professionals in the industry and the global resources of Morgan Stanley. Comprehensive suite of investment strategies are designed to help meet the diverse needs of institutional investors throughout the world. The Global Risk and Analysis group of Morgan Stanley Investment Management is looking to fill a position, at the Associate level, as the IM Quantitative Research Quantitative Developer. This role reports into the Global Risk IT team, a person is responsible for the development and enhancement of quantitative risk analytics for the full range of investment products and the testing and validation of pricing and portfolio construction models utilized by investment teams.

Key Responsibilities

- Design systems to communicate with external Attribution engines as well as bring the analytics data in house
- Engineer services to make performance and attribution data available across the division for Portfolio Management and Client Reporting
- Design the data quality platform and sign off workflow for the business users
- Design and implement interactive applications to create intuitive reporting and analysis tools

Qualifications:

Required Education and Key Skills
- Driven, highly motivated and results focused individual who leads by example
- 5-7 years of experience as a financial services technologist
- Specific programming skills :
- Object Oriented experience in Java
- Database systems such as Sybase/ familiarity with creating and extracting data sets
- Familiarity with Python data manipulation and analysis
- Familiarity with vendor attribution systems such as FACTSET, BlackRock PRISM and others is a plus
- Bachelor Degree in a technical field such as Computer Science, Computer Engineering is required
- Ability to interface with business stakeholders
- Excellent communication and technical writing