# Equity Derivatives Pricing Platform Engineer at Morgan Stanley

Morgan Stanley is hiring an Equity Derivatives Pricing Platform Engineer in New York, United States. It pays $155k-$215k a year and Level rates it Little AI ●○○○; you can [apply on Morgan Stanley](https://jobsbylevel.com/go/37f695c0-5f83-49d3-be4e-bb3da4212bc9?utm_medium=ai-agent).

AI Level 1, AI centrality 34 out of 100. New York, New York, United States of America.

## Details

- Company: [Morgan Stanley](https://jobsbylevel.com/companies/morgan-stanley)
- AI level: AI Level 1 (score 34 out of 100)
- Location: New York, New York, United States of America
- Salary: $155k-$215k
- Posted: November 10, 2026
- Apply: https://jobsbylevel.com/go/37f695c0-5f83-49d3-be4e-bb3da4212bc9?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=equity-derivatives-pricing-platform-engineer-at-morgan-stanley-04e67e

## Description

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

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/equity-derivatives-pricing-platform-engineer-at-morgan-stanley-04e67e

Source: https://jobsbylevel.com/jobs/equity-derivatives-pricing-platform-engineer-at-morgan-stanley-04e67e

## Cite this page

Level. https://jobsbylevel.com/jobs/equity-derivatives-pricing-platform-engineer-at-morgan-stanley-04e67e.

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