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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.
ABOUT THE TEAM
The Equity Investments and Client Activities team at Parametric:
- We are building financial software that solves some of the world's most complex financial opportunities. This includes building solutions to provide customized direct index exposure while making tax sensitive asset selection to improve overall after-tax portfolio returns.
- We design and build financial software responsible for the account life cycle that starts with the onboarding of accounts, managing all client activities and investment instructions, and finally managing equity investment accounts as scale.
ABOUT THE ROLE
We are looking for individuals with a strong curiosity and passion for learning new things, while also continuously challenging themselves to build things better and more scalable.
The Software Engineer on the Equity Investments and Client Activities team is a hands-on contributor who plays a critical role in building tools to support portfolio management and a culture of data-driven enhancements to our process by using ML and Generative AI foundational models, including Open AI, Llama and other technologies to design and implement state-of-the-art solutions. Your passion for designing and building a cloud native generative solution will help our portfolio management business to drive successful business outcomes.
PRIMARY RESPONSIBILITES
- Interact with customers (such as Portfolio managers and traders) directly to understand the business problem, help and aid them in implementation of their generative AI solutions using Python.
- Design, develop and maintain GenAI applications that utilize prompt engineering and finetuning.
- Effective communication skills with business users and other developers
- Implement and manage cloud deployments using AWS services, ensuring high availability and scalability.
- Think outside the box to design and develop complex dashboards.
- Identify different techniques available for data enrichment.
- Leverage a deep understanding of operations data in all aspects of work.
JOB QUALIFICATIONS
SKILL SET
Required Experience: 4+ years
Skill set: Python / PyTorch / Tensorflow / LLM APIs/ Open AI / Prompt Engineering / Big Data / SQL / REST / Docker / OAuth
PRIMARY SKILLS
- Bachelor's Degree (4-year degree) in Computer Science/Engineering, or similar required
- 4+ years of software development experience as an individual contributor; with no less than 3 years’ experience as a data analyst.
- 3+ Years of hands-on Python software design and development experience.
- Develop and manage deployment pipelines for AI models, ensuring seamless integration and scalability.
- Understanding of big data eco system is required.
- Design and develop AI models using prompt engineering techniques for optimal performance.
- Conduct fine-tuning models and testing to meet specific application requirements.
- Cloud native development experience a plus: AWS is preferred but not required.
- Familiarity with relational databases and SQL
- Web development experience is a plus but not required.
- Knowledge of version control systems (Git)
Good to have Skills
- Financial industry experience especially in top tier financial GCC
- Logical in approach and successful in a startup environment
- Front office operations experience is strongly preferred.
- Ability to understand business requirement and convert that into technological implementations.
- Quick learner, helpful, dependable & innovative
- Knowledge of AWS tools such as ECS and EC2
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.
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About Morgan Stanley

Morgan Stanley
PublicA financial services company that offers securities, asset management, and credit services.
10,001+
Employees
New York
Headquarters
Reviews
3.5
4 reviews
Work Life Balance
3.0
Compensation
2.5
Culture
3.2
Career
3.0
Management
3.0
35%
Recommend to a Friend
Pros
Skills evaluation through business plans and projects
Direct access to senior leadership interviews
Conversational interview format
Cons
Automated resume screening system issues
Focus on formatting over qualifications
Compensation concerns and salary expectations
Salary Ranges
11,766 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
1,682 reports
$114,371
total / year
Base
$96,366
Stock
-
Bonus
$18,005
$77,808
$170,800
Interview Experience
6 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Experience
Positive 16%
Neutral 84%
Negative 0%
Interview Process
1
Initial screening (HR/HireVue)
2
Technical rounds
3
Manager/Senior leadership interviews
4
Final round/Superday
Common Questions
Technical knowledge assessment
Behavioral questions
Role-specific scenarios
Leadership and teamwork examples
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