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Company Profile:
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries.

As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs, is an important part of our culture.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Position:

Morgan Stanley's analytics platform is offered to Fund Services, Prime brokerage and Wealth management clients. The platform computes the performance on a given set of investments and provides rich reporting capabilities to the end users. It supports over 300 different types of calculations including Time weighed returns, Internal rate of return, Beta, Sharpe Ratio, performance attribution, long short analysis and much more. This is a real-time platform that requires fast calculations, efficient memory management and a highly scalable architecture.

This role provides an exciting opportunity to join a global development team that is predominately based in London. You will work closely, as part of a highly collaborative and high performing Agile team, to rebuild and deliver a core part of the Analytics platform to run on public cloud.

You must have

Bachelor / Masters degree in Computer Science or equivalent
At least 2 years of experience with Java development

You might have:

Working knowledge of Spring Boot Java-based framework
Experience Agile Scrum teams operate and contribute
A familiarity with collaborative design and planning session to solve complex problems
An understanding of how to ensure high code quality and clean code

You will gain:

A greater depth of technical skills, particularly Java
Knowledge about public cloud, particularly Azure, gaining exposure to Terraform and Github Actions
Understanding and implementation of cloud native technologies and designs
Understanding of data structures, caching, design patterns, multi-threaded and high- performance architecture

Flexible work statement:
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Equal opportunities statement:
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.