MSET QR Data Strats , Senior Manager , Institutional Equity Division

Company ProfileMorgan 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.Department ProfileFrom global institutions to hedge funds, investors come to Morgan Stanley for sales, trading, and market-making services in almost every type of financial instrument in all the world’s financial markets. Morgan Stanley professionals use our network and technology to provide liquidity and sophisticated analysis, to manage risk and execute reliably in the fast-changing markets.Morgan Stanley’s Institutional Equity Division (IED) is a world leader in the origination, distribution and trading of equity, equity-linked and equity-derivative securities. Our broad and deep client relationships, market-leading platform and intellectual insights enable us to be a world-class service provider to our clients for their financing, market access and portfolio management needs.Global Markets Group is the offshoring arm of Morgan Stanley’s Equity businesses in India. It covers functions across IED ranging from those associated with sales, trading, analytics, Strats to risk management.Primary ResponsibilitiesThe 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 environmentCollaborate 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 builtWrite clean, maintainable code across both front end and backend technologiesIntegrate applications with APIs, databases and third-party systemsParticipate in code reviews, sprint planning and other agile ceremoniesContribute to the improvement of development processes, tools and system architecturesMaintain clear and comprehensive documentation of code, configurations and processesWorking with large scale global systems, datasets, and databases  Core RequirementsWe 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 pipelinesProven expertise in designing, developing, and maintaining robust APIs. Demonstrated understanding of API versioning strategies, backward compatibility, documentation practicesStrong 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 pressureExperience with CI-CD pipelines, Git and DevOps toolsStrong oral and written communication skills.Complementary SkillsUnderstanding of the financial markets and the electronic trading businessWorking with large datasets and ETL pipelines for data warehousesUnderstanding of KDB+ or other databases, such as Sybase or Microsoft SQL ServerFamiliarity with database programming with q and SQLDevelopment in other programming languages, such as Python, C++Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years.  Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and crea