Quantitative Analyst -Associate- Parametric

About Morgan Stanley

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 41 countries, the Firm's employees serve clients worldwide including corporations, governments, institutions, and individuals. For further information about Morgan Stanley, please visit www.morganstanley.com.

About Parametric

Parametric is part of Morgan Stanley Investment Management, the asset management division of Morgan Stanley. We partner with advisors, institutions, and consultants to build portfolios focused on what's important to them and their clients. A leader in custom solutions for more than 30 years, we help investors access efficient market exposures, solve implementation challenges, and design multi-asset portfolios that respond to their evolving needs. We also offer systematic alpha and alternative strategies to complement clients' core holdings.

This role is part of Parametric's hybrid working model, which requires working in the office 3 days a week and remotely the remaining days of the week.

About The Team

Parametric's fixed income solutions can make it easy to navigate complex markets while customizing portfolio exposure to potentially fit investment goals. We're an industry pioneer with over 30+ years of Fixed Income Experience. Our Separately Managed Accounts (SMAs) make custom fixed income portfolios simple and scalable.

About The Role

The role will focus primarily on driving implementation of SMA portfolios at scale, leveraging tools and technologies built in-house for portfolio management and trading. The SMA strategies include all strategies managed by the broader Fixed Income team. Additionally, the role will focus on quantitative research and data science projects to develop and grow the SMA fixed income strategies. Finally, the role will require the individual to operate in a project management capacity on development initiatives in partnership with investment technology.

Primary Responsibilities

• SMA Implementation: Collaborate with portfolio managers and traders on day-to-day investment responsibilities including monitoring portfolio positioning, execution, cash management and compliance. Push forward the implementation process related to trade output review and prioritization
• Portfolio Construction and Product Development:: Develop and maintain new and existing portfolio construction algorithms, Support and work with product team closely by modeling new strategies, and work with investment technology team to help with workflow automation, data processing and general quantitative projects for all portfolio management teams.
• Project Management and Product Ownership: Work closely with investment technology teams and project manage working closely with business team and interfacing with developers daily to execute strategic initiatives. Prototype trading and portfolio construction logic for the purpose of translation to production applications
• Quantitative Research and Data Science: Conceptualize and aid in innovative research studies, such as applying LLM/ML to generate investment ideas. Engage in the team’s quantitative investment process by collecting, cleaning, processing and analyzing large datasets
• Collaborate and work on long-term research projects with supervision and support from the team’s portfolio managers and quantitative analysts.
  
  

Job Qualifications

SKILL SET

Required Experience: 3+ years

Skill set: Python/SQL

Primary Skills

• Bachelor’s or master’s degree in quantitative fields such as Computer Science, Mathematics, Statistics or Financial Engineering
• 3+ years of related work experience in investments, qualitative research, or a similar field.
• Knowledge of object-oriented programing, Python 3.x.
• SQL Server, MySql or other relational database experience.
• Demonstrated interest in investments and quantitative research.
• Strong analytics background.
• Ability to think creatively and propose new ways to employ quantitative tools.
• Ability to concisely communicate quantitative concepts.
• Ability to work independently and as a member of a team.
• Ability to work well in a highly social and collaborative environment across multiple geographies.
  
  

Good To Have Skills

• NLP/LLM, Machine Learning or AI knowledge, cloud technology a plus.
• Data tools like Tableau, Power BI, Alteryx.
• Professional certifications such as CQF, CFA or FRM are desirable.
  
  

Parametric believes each member of our organization makes a significant contribution to our success. That contribution should not be limited by the assigned responsibilities. Therefore, this job description is designed to outline primary duties and qualifications. It is our expectation that every member of our team will offer his/her/their services wherever and whenever necessary to ensure the success of our client services.

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.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

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 talents.