Developer_ 9-15 years_Mumbai_Institutional Securities TechnologyCompany ProfileMorgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 41 countries, the Firm's employees serve clients worldwide including corporations, governments, institutions, and individuals. For further information about Morgan Stanley, please visit www.morganstanley.comESTARTo work with some of the best professionals in the business - for a firm that values individual intellect as much as teamwork.State-of-the-art offices that are designed to maximize collaboration.Flexible working arrangementsEnriching challenges that provide opportunity for constant learning and advancement.An environment which is leveraging technology to its highest potentialJob ProfileMorgan Stanley is seeking a collaborative, hands-on Senior Python developer to contribute to the build out of our strategic Data Science platform for researchers, financial engineers, quants, and strategists. We are seeking a senior developer, passionate about good practices, testing, ensuring code quality, and using reusable design patterns in order to expand and consolidate a robust and performant framework.This is a rapidly-growing and high-priority area, and the growth in users and user-cases has warranted the investment from the business to greatly expand the team globally. You will work closely with quants and traders on multiple trading desks to design, develop, deploy and support a platform answering to the business needs of varied stakeholders and use-cases within the entire firm. You will work within a global team in an agile environment, so strong communications skills are very important. As the framework grows, the business stakeholders will grow as well.Primary SkillExperience developing & designing systems in Python that work with large datasetsExperience with using libraries such as numpy and pandas or others to work with large datasets in a performant wayFocused on engineering excellence – building software and systems that scale through a focus on automated testing, code quality, and continuous deploymentSolution-oriented and can work with the business to build scalable solutions to business needsThorough understanding of programming fundamentals such as OOP, data structures and algorithm designStrong enthusiasm for code quality, and desire to build long-standing and stable systemsStrong communication skills, both technical and otherwise, that can be leveraged to collaborate with a diverse set of stakeholdersDesired SkillTrack record working in front-office environment with trading and quantitative strategistsKnowledge of, or interest in equities / options / futures / ETF / structured productsKnowledge of, or interest in fixed income products and data / FX / rates / bondsKDB knowledge or experience with another high-performance timeseries databaseExperience in designing parallelizable computational codeKnowledge of common python data engineering stack, such as scheduling toolsMorgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise 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.
