Front Office Senior Software Engineer; Fixed Income Risk System

Position: Front Office Senior Software Engineer (Fixed Income Risk System)
We are seeking a Lead Software Engineer to join the Structured Rates Technology team. The team develops strategic pricing, risk and workflow platforms used by traders, desk strategists and management across Morgan Stanley's global Structured Rates business. Working directly with front-office stakeholders in London and globally you will deliver solutions spanning pre-trade pricing, intraday risk, intraday PnL, market data, eod reporting and trade lifecycle management for interest rate derivatives, with focus on options and exotics.

This is a highly visible front-office engineering role that combines deep business engagement with large-scale distributed systems engineering. 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 Software Engineering position at Vice President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.

What You'll Do In

The Role ;

Partner directly with traders, desk strategists and technology teams to design and deliver strategic technology solutions supporting the Structured Rates business. Work closely with stakeholders in London and globally to understand business priorities, evaluate requirements and deliver scalable solutions that meet the needs of a fast-moving front-office environment. Contribute across the full software development lifecycle as a senior engineer, designing and building functionality for strategic pricing, risk and workflow platforms used across the Structured Rates business.

Develop solutions supporting pre-trade pricing, intraday risk management, intraday PnL, scenario analysis and lifecycle management for vanilla and exotic interest-rate derivatives, cash securities, and hybrids with other asset classes. Work closely with quantitative strategists to implement risk methodologies and business workflows using valuation models. Engineers on the team are expected to understand derivatives products, risk measures and trading processes sufficiently to challenge requirements, reason about results and help shape practical business solutions.  

Develop large-scale distributed systems on one of the world's largest Scala codebases, leveraging graph-computing technology, distributed caching, compute grids and high-performance data platforms. Work with specialist infrastructure teams to solve challenging scaling and performance problems associated with real-time risk and PnL calculations for complex derivatives portfolios.  Deliver strategic initiatives such as onboarding new products, expanding risk and market-data capabilities, building predictive analytics, enhancing pricing applications and improving the performance and scalability of risk calculations.

Balance longer-term platform development with rapid delivery of business-critical enhancements and production support requirements.  Contribute to platforms used across the broader Macro business, including end-of-day risk and PnL infrastructure supporting Rates, FX and Emerging Markets businesses, providing exposure to a broad range of products and users.  Collaborate with colleagues across North America, Europe and Asia to develop strategic solutions, share expertise and promote reuse across a globally distributed technology organisation.

What You'll Bring To

The Role ;
At least 6 years' relevant experience would generally be expected to find the skills required for this role. Strong software engineering skills with experience designing and delivering complex business-critical systems. Strong proficiency in Scala, Java or similar enterprise development languages, together with strong knowledge of data structures, algorithms, concurrency and distributed-system design. Candidates with strong experience in other languages such as Python, C++ or C# are encouraged to apply.

Experience developing scalable distributed systems and working with technologies such as distributed caches, grid computing, messaging frameworks and high-performance data platforms. Strong understanding of derivatives products, trading workflows, risk methodologies and PnL concepts, with the ability to engage confidently with traders and quantitative teams. Experience delivering systems involving pricing, risk calculations, PnL, scenario analytics, market-data processing or quantitative business logic is highly desirable.

Strong analytical and problem-solving skills with the ability to investigate complex issues spanning business logic, market data, distributed systems and application performance.

Experience with modern software engineering practices including automated testing, continuous integration, continuous delivery and AI-assisted software development techniques. Strong communication and stakeholder-management skills, with the ability to work directly with traders, strategists and senior technology…