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 includes working in the office 3 days a week and choosing to work remotely or in the office the remaining days of the week.
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
o Collaborate with portfolio managers and traders on day-to-day investment responsibilities including monitoring portfolio positioning, execution, cash management and compliance
o Push forward the implementation process related to trade output review and prioritization
– Portfolio Construction and Product Development
o Develop and maintain new and existing portfolio construction algorithms
o Create new products by modeling new strategies
o Work with investment technology to help with workflow automation, data processing and general quantitative projects for all portfolio management teams
– Project Management and Product Ownership
o Drive investment technology projects as the business stakeholder, interfacing with developers daily to execute strategic initiatives
o Prototype trading and portfolio construction logic for the purpose of translation to production applications
– Quantitative Research and Data Science
o Conceptualize and aid in innovative research studies, such as applying LLM/ML to generate investment ideas
o Engage in the team’s quantitative investment process by collecting, cleaning, processing and analyzing large datasets
o Drive long-term research projects with supervision and support from the team’s portfolio managers and quantitative analysts.
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 includes working in the office 3 days a week and choosing to work remotely or in the office the remaining days of the week.
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
o Collaborate with portfolio managers and traders on day-to-day investment responsibilities including monitoring portfolio positioning, execution, cash management and compliance
o Push forward the implementation process related to trade output review and prioritization
– Portfolio Construction and Product Development
o Develop and maintain new and existing portfolio construction algorithms
o Create new products by modeling new strategies
o Work with investment technology to help with workflow automation, data processing and general quantitative projects for all portfolio management teams
– Project Management and Product Ownership
o Drive investment technology projects as the business stakeholder, interfacing with developers daily to execute strategic initiatives
o Prototype trading and portfolio construction logic for the purpose of translation to production applications
– Quantitative Research and Data Science
o Conceptualize and aid in innovative research studies, such as applying LLM/ML to generate investment ideas
o Engage in the team’s quantitative investment process by collecting, cleaning, processing and analyzing large datasets
o Drive long-term research projects with supervision and support from the team’s portfolio managers and quantitative analysts.
JOB REQUIREMENTS
- 0-3 years of work experience
- Bachelor's degree
- 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
- Must be able to work independently and as a member of a team
Preferred:
- Knowledge of object-oriented programing, python
- SQL Server, MySql or other relational database experience
- NLP/LLM, Machine Learning or AI knowledge, cloud technology a plus
- Data tools like Tableau, Power BI, Alteryx
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.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet
JOB REQUIREMENTS
- 0-3 years of work experience
- Bachelor's degree
- 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
- Must be able to work independently and as a member of a team
Preferred:
- Knowledge of object-oriented programing, python
- SQL Server, MySql or other relational database experience
- NLP/LLM, Machine Learning or AI knowledge, cloud technology a plus
- Data tools like Tableau, Power BI, Alteryx
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.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet