In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Principal Software Engineering position at the Vice President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.
Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on.
We're seeking someone to join our Equity Derivatives Technology team as an Equity Derivatives Pricing Platform Engineer in ESTAR to build and evolve a global platform supporting equity derivatives pricing, trading workflows, and front-office users.
What you'll do in the role:- Build and deliver. Design, implement, test, and release platform features and fixes. Contribute hands-on while helping raise engineering standards across the team.
- Partner with the desks. Work directly with Sales and Trading to understand workflows, investigate issues, clarify requirements, and translate business needs into prioritized engineering work.
- Collaborate with quantitative model owners. Partner with Strats on product and model integration, investigate unexpected pricing results, and establish clear ownership between platform and model-related issues.
- Support quote, RFQ, and booking workflows. Maintain and improve integrations across pricing, quoting, RFQ, product creation, booking, and downstream systems. Work with operations and technology teams to improve reliability and supportability.
- Strengthen testing and verification. Establish regression testing for pricing and numerical results using reference values agreed with Strats. Expand automated testing across backend services, integrations, and user workflows.
- Improve engineering quality. Introduce practical quality controls such as formatting, linting, typing, automated tests, changed-code coverage, and domain-aware code review. Apply these controls incrementally so that they improve reliability without slowing delivery unnecessarily.
- Own production health during New York hours. Monitor the platform, investigate production issues, support deployment and rollback, and troubleshoot problems across services, data, configuration, integrations, and pricing components.
- Automate operational work. Identify recurring support activities and manual checks, then replace them with reliable diagnostics, monitoring, or automation where appropriate.
- Support platform adoption. Work with the desks and Strats to move suitable products and workflows from spreadsheet-based tools to the shared platform. Help validate that pricing outcomes are consistent or that differences are understood.
- Work across regions. Coordinate effectively with engineers and stakeholders in London and Asia through clear written requirements, technical decisions, documentation, and handoffs.
- Apply modern engineering tools responsibly. Use automation and AI-assisted development where they improve code comprehension, testing, debugging, or documentation, while maintaining appropriate review, verification, and production discipline.
What you'll bring to the role:- Senior, hands-on software-engineering experience building and operating production applications, ideally in financial services or another production-critical environment.
- Strong backend development skills in Python, Java, or a comparable language, with the ability to learn and contribute to the platform's existing technology stack.
- Experience delivering reliable software across the development lifecycle, including design, implementation, testing, deployment, observability, and production support.
- Working knowledge of equity derivatives or structured products, with the ability to understand trading and pricing workflows and collaborate effectively with quantitative model owners.
- A record of working directly with business, product, trading, sales, or quantitative stakeholders to clarify needs and deliver practical solutions.
- Sound testing and troubleshooting judgment, particularly for systems involving numerical results, complex data, integrations, or external dependencies.
- Experience diagnosing production issues across applications, services, data, configuration, and infrastructure.
- Practical experience with AI-assisted engineering tools, or a strong interest in applying them responsibly to complex enterprise software.
- Ability to work independently on ambiguous problems, establish ownership, make pragmatic decisions, and drive issues to closure.
- Strong written and verbal communication skills, including the ability to collaborate across business functions, engineering disciplines, regions, and time zones.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 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.
Expected base pay rates for the role will be between $155,000 and $215,000 per year 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 Stanley sponsored benefit programs.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit : https://www.morganstanley.com/people-opportunities/eeo .
