Primary Responsibilities

The Quantitative Research (QR) group designs, builds and maintains the models which drive the equity trading engines at Morgan Stanley. Our systems are used globally by both internal trading groups and clients of the firm. We utilize systematic, data-driven approaches to understand how markets work and put those ideas in action. The team spans the disciplines of finance, econometrics, statistics, mathematics, machine learning and data analysis, with many team members well versed in multiple areas. We are looking to hire highly talented, creative individuals who are enthusiastic about contributing to a leading-edge team, in an intellectually stimulating environment.

We are looking for a Software Engineer who has experience in working with large data sets and designing, developing and maintaining the applications within the QR team.

The expected working hours will be US hours: 2:00 PM (local time) to 10:00 PM (local time)

The key elements of the role are -

- Design, develop, test and deploy scalable full stack applications in a secure, high-performance environment
- Collaborate with product owners, business analysts and other developers to understand requirements and deliver high quality solutions; write technical user stories which detail how business functionality is to be designed and built
- Write clean, maintainable code across both front end and backend technologies
- Integrate applications with APIs, databases and third-party systems
- Participate in code reviews, sprint planning and other agile ceremonies
- Contribute to the improvement of development processes, tools and system architectures




- Maintain clear and comprehensive documentation of code, configurations and processes
- Working with large scale global systems, datasets, and databases

Core Requirements

We are looking for a confident and outgoing person, who has exceptional attention to detail and takes initiative.
- Engineering degree preferably in computer science information technology with 5+ years experience in building distributed systems applying agile practices.
- Strong working knowledge of core Java and Spring frameworks including spring-boot and testing.
- Experience in owning and working end-to-end software development comprised of Backend and/or Data Engineering pipelines
- Proven expertise in designing, developing, and maintaining robust APIs. Demonstrated understanding of API versioning strategies, backward compatibility, documentation practices
- Strong understanding of managing and scaling high volume databases. Experience in Sybase, KDB+ preferred.
- Sound understanding of microservice architecture and design patterns, system resiliency, scalability, security, and observability.
- Understanding of secure coding practices and experience in regulated environments (financial services is a plus)
- Strong problem-solving skills and ability to think critically under pressure
- Experience with CI-CD pipelines, Git and DevOps tools
- Solid oral and written communication skills.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Institutional Equity Division - Senior Manager, Java (Mumbai)
🏢 Morgan Stanley
📍 Mumbai