API Lead Vice President Data & Analytics Engineering
COMMERZ III, OBEROI GARDEN CITY, India
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Morgan Stanley
Discover how we help individuals, families, institutions and governments raise, manage and distribute the capital they need to achieve their goals.Morgan Stanley
API Lead_ Vice President _Data & Analytics Engineering
Profile Description
Weāre seeking someone to join our team as API Lead will be a part of our Cyber Data Risk & Resilience team, to will play a key role in helping transform how Morgan Stanley operates
CDRR_Technology
The Cybersecurity organization's mission is to create an agile, adaptable organization with the skills and expertise needed to defend against increasingly sophisticated adversaries. This will be achieved by maintaining sound capabilities to identify and protect our assets, proactively assessing threats and vulnerabilities and detecting events, ensuring resiliency through our ability to respond to and recover from incidents and building awareness and increase vigilance while continually developing our cyber workforce.
Firmwide Data Office
Data COE team is distributed globally between New York, London, Budapest, India, and Shanghai; and are engaged in a wide array of projects touching all business units (Institutional Securities, Investment Management, Wealth Management) and functions (e.g., Operations, Finance, Risk, Trading, Treasury, Resilience) across the Firm. The team vision is a multi-year effort to simplify firmās data architecture and business processes front-to-back with goals of reducing infrastructure and manpower costs, improving the ability to demonstrate control of data, empowering developers by providing consistent means of handling data, facilitate data-driven insights & decision making, and providing a platform to implement future change initiatives faster, cheaper, and easier.
Data & Analytics Engineering
This is Vice PresidentĀ position that provides specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models,Ā optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.
Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
At Morgan Stanley India, we support the Firmās global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firmās infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, thereās ample opportunity to move across the businesses for those who show passion and grit in their work.
Interested in joining a team thatās eager to create, innovate and make an impact on the world? Read onā¦
What youāll do in the role:
The Firmwide Data Office department is recruiting for an enthusiastic, dynamic, hands-on and delivery focused Senior API Developer.
As a member of our Software Development team, we look first and foremost for people who are passionate about solving business problems through innovation and engineering practices.
You'll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner with stakeholders to stay focused on business goals.
We embrace a culture of experimentation and constantly strive for improvement and learning.
Work in a collaborative, trusting, thought-provoking environment-one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally.
Combine your design and development expertise with a never-ending quest to create innovative technology through solid engineering practices.
You'll work with highly inspired and inquisitive team of technologists who are developing & delivering top quality technology products to our clients & stakeholders
What youāll bring to the role:
10-15 years of hands-on experience in API Development and strong expertise in Core Java, Multithreading, and Object-Oriented Design.
Strong experience in designing and developing RESTful APIs; good working knowledge of GraphQL.
Experience with Java 15 or later (Java 17 preferred).
Design, develop, and maintain core components of a high-performance application built around knowledge graph architecture.
Implement and optimize scalable backend solutions integrating with Graph database.
Develop and support APIs (both REST and GraphQL) to expose and manage application functionality efficiently.
Deep understanding of distributed caching mechanisms, including Hazelcast, Caffeine, InCache, or Google Guava Cache.
Experience integrating with Graph Databases (preferably Stardog); additional knowledge of Apache Jena and SAPRQL is a strong plus.
Understanding of application security, authentication, and authorization best practices.
Experience with ZooKeeper for coordination and distributed systems management. Familiarity with load balancer configurations and application performance tuning.
Analyze, debug, and enhance existing components using modern Java practices, ensuring maintainability and reliability.
Required Skills & Qualifications:
Proficiency with Spring Framework, Spring Boot, and deep understanding of Spring Annotations and Java-based configurations.
Strong understanding of system design principles, including scalability, fault tolerance, distributed systems, and performance optimization.
Experience with unit and integration testing in modern Java applications.
Full software development life cycle.Collaborate with cross-functional teams to ensure seamless data flow and performance through intelligent caching strategies.
Good to Have:
Experience or familiarity with Reactive Programming, especially using Spring WebFlux.
Hands-on knowledge of HTTP clients like OkHttp, WebClient, or similar.
Experience with or exposure to other graph databases or triple stores (e.g., Neo4j, Virtuoso, Blazegraph, RDF4J).
Working knowledge of Redis for caching or data storage.
Understanding of search and indexing systems similar to ElasticSearch used for building scalable and efficient search features.
Exposure to observability and monitoring tools such as Prometheus, Grafana, Loki, Kibana or Splunk.
What you can expect from Morgan Stanley
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 85 years. At our foundation are five core values ā putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back ā that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, youāll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. Our Firm is differentiated by the caliber of our diverse team, while our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry.
Morgan 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.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - arenāt 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, youāll 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 creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. Thereās also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-officesā into your browser.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: Agile API Development APIs Architecture Data analysis Data pipelines Distributed Systems Elasticsearch Engineering Finance Grafana GraphQL Java Kibana Machine Learning Neo4j Pipelines SDLC Security Splunk Testing
Perks/benefits: Career development Team events
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