Equity Derivatives Pricing Platform Engineer
Morgan Stanley2 days ago
Base Salary
$155k - $215k/yr
Responsibilities
- Design, implement, test, release, and maintain platform features and fixes for equity derivatives pricing and trading workflows.
- Partner with Sales and Trading, Strats, operations, and technology teams to understand workflows, integrate quantitative models, and resolve issues.
- Maintain integrations across pricing, quoting, RFQ, product creation, booking, and downstream systems.
- Establish regression testing for pricing and numerical results and expand automated testing across backend services, integrations, and user workflows.
- Improve engineering quality through formatting, linting, typing, automated tests, changed-code coverage, and domain-aware code review.
- Monitor production health during New York hours, investigate incidents, support deployment and rollback, and troubleshoot application, data, configuration, infrastructure, integration, and pricing issues.
- Automate recurring operational work through diagnostics, monitoring, and other reliable automation.
- Support migration of suitable products and workflows from spreadsheet-based tools to the shared platform.
- Coordinate technical decisions, documentation, requirements, and handoffs with engineers and stakeholders in London and Asia.
- Apply AI-assisted development tools responsibly for code comprehension, testing, debugging, and documentation.
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, with the ability to learn and contribute to the existing technology stack.
- Experience across the software development lifecycle, including design, implementation, testing, deployment, observability, and production support.
- Working knowledge of equity derivatives or structured products and their trading and pricing workflows.
- Experience working directly with business, product, trading, sales, or quantitative stakeholders to clarify needs and deliver solutions.
- Sound testing and troubleshooting judgment 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 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 across business functions, engineering disciplines, regions, and time zones.
Benefits
- Morgan Stanley offers comprehensive employee benefits and perks, opportunities for career mobility, and a supportive and inclusive work environment.
- The role is based in a global operating context with coordination across New York, London, and Asia.
About Morgan Stanley
Morgan Stanley is a global financial services firm that provides investment banking, sales and trading, wealth management, and investment management to corporations, governments, institutions, and individuals. It earns fees, commissions, and interest and trading income across advisory, underwriting, brokerage, and asset management businesses. Founded in 1935 and headquartered in New York, the public company operates in more than 40 countries through thousands of offices, including a large U.S. wealth management franchise.