FID, Non-Agency SPG Desk Strat - AS

Company Overview:

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.

 

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 to grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

Role Overview:

The Securitized Products Group (SPG) is seeking a highly talented and motivated trading desk strategist. The successful candidate will develop novel trading tools and analytics in a fast paced, real-time trading environment.  They will be expected to demonstrate a thorough and detailed approach to quantitative modeling and software development, with the ability to proactively identify appropriate user and business solutions. They should also have a proven track record of working as part of a team to deliver software solutions to meet customer needs.

 

The candidate does not need to have prior knowledge of Fixed Income products but should demonstrate a desire and aptitude to learn the asset class.  There are multiple opportunities available across the residential complex (RMBS, CRT, Whole Loans), the commercial complex (CMBS), and the leveraged loan complex (CLO, Corp Leveraged Loans). 

 

Skills Required:

• Bachelor’s degree in computer science, statistics, economics, finance, or related discipline
• Experienced idea generator, able to pitch ideas internally and externally
• Strong quantitative skills and programming ability
• Impeccable verbal and written communication skills
• Object Oriented fundamentals, design patterns, data structures and algorithms
• Good knowledge of design patterns with excellent problem-solving skill
• Strong self-motivation

 

Skills Desired:

• MFE or other master’s degree in a related discipline

• Proficiency in Python and/or an object-oriented programming language (e.g. Java, C++)

• Front-end development skills, including Angular/ React, Javascript, HTML5, and CSS

• Experience with SQL, in any of the RDBMS databases

• Proven track record in model development and the use of machine learning techniques

 

Nice to Have:

• Experience structuring or analyzing deal documentation

• Working knowledge of regulatory models including on capital and stress testing

• Working knowledge of Q/KDB

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

Expected base pay rates for the role will be between $150,000 and $200,000 per year for an Associate 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 Stanl