Equity Derivatives Pricing Platform Engineer

Morgan Stanley•New York, NY
•$155,000 - $215,000

About The Position

Morgan Stanley is seeking an Equity Derivatives Pricing Platform Engineer to join its Equity Derivatives Technology team in ESTAR. This Principal Software Engineering position is at the Vice President level and focuses on building and evolving a global platform supporting equity derivatives pricing, trading workflows, and front-office users. The engineer will contribute hands-on to the design, implementation, testing, and release of platform features and fixes, while helping raise engineering standards. The role works closely with Sales and Trading, Strats, operations, and technology teams to understand workflows, integrate products and models, troubleshoot pricing results, and improve platform reliability. It also involves strengthening automated and regression testing, supporting production health during New York hours, automating operational work, and helping desks transition appropriate products and workflows from spreadsheets to the shared platform. The role requires coordination with colleagues and stakeholders in London and Asia, along with clear written requirements, technical decisions, documentation, and handoffs. The engineer is expected to use automation and AI-assisted development responsibly, with appropriate review, verification, and production discipline.

Requirements

  • 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, and 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 ability to understand trading and pricing workflows and collaborate with quantitative model owners.
  • Experience 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 ability to collaborate across business functions, engineering disciplines, regions, and time zones.

Responsibilities

  • Design, implement, test, and release platform features and fixes, contributing hands-on and helping raise engineering standards.
  • Work directly with Sales and Trading to understand workflows, investigate issues, clarify requirements, and translate business needs into prioritized engineering work.
  • Partner with Strats on product and model integration, investigate unexpected pricing results, and establish clear ownership between platform and model-related issues.
  • 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.
  • Establish regression testing for pricing and numerical results using reference values agreed with Strats, and expand automated testing across backend services, integrations, and user workflows.
  • Introduce practical engineering quality controls, including formatting, linting, typing, automated tests, changed-code coverage, and domain-aware code review.
  • Monitor the platform during New York hours, investigate production issues, support deployment and rollback, and troubleshoot across services, data, configuration, integrations, and pricing components.
  • Identify recurring support activities and manual checks and replace them with diagnostics, monitoring, or automation where appropriate.
  • Work with desks and Strats to move suitable products and workflows from spreadsheet-based tools to the shared platform, and help validate pricing consistency or explain differences.
  • Coordinate with engineers and stakeholders in London and Asia through clear written requirements, technical decisions, documentation, and handoffs.
  • Use automation and AI-assisted development where helpful for code comprehension, testing, debugging, or documentation, while maintaining appropriate review, verification, and production discipline.

Benefits

  • Morgan Stanley-sponsored employee benefit programs and perks, described as attractive and comprehensive.
  • Opportunity to move about the business for employees who demonstrate passion and grit.
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