Vice President, Software Engineer

About the role

Morgan Stanley Services Group, Inc. is seeking a Vice President, Software Engineer in New York, New York.

Responsibilities

• Design and architect Risk Calculator platform modules to meet complex business requirements for large hedge fund and institutional clients.
• Develop and integrate advanced simulation engines to forecast portfolio risks under hypothetical market scenarios, supporting stress testing and “what-if” analyses.
• Build systems capable of managing and processing millions of risk metrics daily, leveraging distributed computing and scalable architectures to ensure performance and reliability.
• Translate complex business processes and financial product knowledge into actionable technical solutions through collaboration with business stakeholders.
• Create interfaces for automated risk reporting, margin calculation, and integration with upstream/downstream systems, supporting both real-time and batch processing.
• Ensure the risk management platform adheres to industry regulations.
• Provide hands-on guidance, code reviews, and mentorship to development teams, fostering best practices in software engineering, design patterns, and system scalability.

Requirements

• Bachelor’s in Data Science, Computer Science, Engineering (any), or a related field.
• Five (5) years of experience in the position offered or five (5) years as a Java/Scala Developer, Senior Manager, Associate, or a related technology role.
• Five (5) years of experience with high-performance, low-latency distributed systems; Java; Python; Spring Boot; SQL, NSQL and hybrid databases; Microservices architecture; Docker; Kubernetes; Kafka; and real-time streaming data processing and performance tuning for sub millisecond execution.
• Three (3) years of experience with cloud-native deployments including AWS or Azure.
• Two (2) years of experience with stress testing; Price Value of 01 (PV01); trade lifecycle workflows in equities, fixed income, and derivatives; and VaR.

Qualifications

• Experience with advanced simulation engines and forecasting portfolio risks.
• Knowledge of distributed systems and microservices architecture.
• Ability to work independently and collaboratively with business stakeholders.
• Strong understanding of financial products and regulations.

Skills

• High-performance, low-latency distributed systems.
• Java.
• Python.
• Spring Boot.
• SQL, NSQL and hybrid databases.
• Microservices architecture.
• Docker.
• Kubernetes.
• Kafka.
• Real-time streaming data processing and performance tuning for sub millisecond execution.
• Cloud-native deployments including AWS or Azure.
• Stress testing.
• Price Value of 01 (PV01).
• Trade lifecycle workflows in equities, fixed income, and derivatives.
• VaR.

Benefits

• Telecommuting permitted up to 1 day per week.

Pay

Expected base pay rates for the role will be between $190,000 and $210,000 per year at the commencement of employment.

Schedule

Telecommuting permitted up to 1 day per week.