Fraud Tech - Software and Data engineering lead

Description -

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.

Technology works as a strategic partner with Morgan Stanley business units and the world's leading technology companies to redefine how we do business in ever more global, complex, and dynamic financial markets. Morgan Stanley's sizeable investment in technology results in quantitative trading systems, cutting-edge modelling and simulation software, comprehensive risk and security systems, and robust client-relationship capabilities, plus the worldwide infrastructure that forms the backbone of these systems and tools. Our insights, our applications and infrastructure give a competitive edge to clients' businesses-and to our own. The Non-Financial Risk Technology organization builds and manage applications to enable the Morgan Stanley Non-Financial Risk division.

The Fraud Technology team is dedicated to protecting the firm from fraudulent activities performed by external actors, employees, and clients. Applications provided by the team include real-time payment screening, anomaly detection, statistical modelling, and machine learning to detect unusual behaviors, fraud decision and scoring, case management, reporting, investigation, and analytics. The team partners closely with Fraud Department, Wealth Management, Institutional Securities, Cyber, Financial Crimes, and other key stakeholders to help protect the firm from an evolving and sophisticated fraud landscape.

Role Description

As a global software and data engineering lead your role will be to lead and mentor the Fraud Data and Fraud Case Management technical teams across North America and India. The primary objective of the Fraud Data team is to come up with a Data Strategy that aligns with the WM and ISG Data strategy and deliver a solid data foundation to enable current and long-term Fraud analytics and AI/ML use-cases. The primary objective of the Case Management technical team is to deliver efficiencies across the Fraud Alert and Incident management process, and fully automate and streamline interactions of the Fraud team with other BU and Risk teams.

You will be expected to build strategic relationships with senior Fraud department, Technology and Business stakeholders. You will be expected to present to global technology and business leadership the long-term technical strategy recommendations that align with the Fraud Departments business objectives. The role will be accountable for multiple complex programs with noticeable impact on business enablement and driving efficiency. The role is expected to negotiate change across direct area of responsibility and be able to influence other related technical and business areas.

You will be responsible for the development of global technical talent and leadership for current and long-term needs and opportunities, The role will be responsible for all aspects of the software development process, lead architecture and design, developing scalable, secure, and resilient solutions leveraging modern technologies and practices.

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.

Skills Required

The candidate must possess a strong technology leadership background.

At least 15 years' experience in software and data engineering space Software development experience in a modern programming language and familiarity with SDLC practices and/or strong Data Management experience with data& analytics technologies involving structured, semi-structured and unstructured data. Excellent interpersonal and professional skills; detail-oriented Strong analysis and problem-solving skills Ability to learn quickly and pick up new technologies. Ability to work effectively in a global and dynamic team Experience in Financial Services

Skills Desired

Experience with Big Data, Snowflake Data Platform, Azure Data ecosystem. Experience with Relational, Graph and NOSQL Operational Databases Knowledge of Kafka Fundamental knowledge of public cloud platforms like Azure/GCP/AWS Experience with Machine Learning and related applications Experience in Data Modelling, Architecture and Governance Experience with Data Governance Tools such as Collibra Data Catalog and Quality

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.

Job: *Development

Title: Executive Director - Application Development

Location: Non-Japan Asia-India-Maharashtra-Mumbai (MSA)

Requisition ID: 3249634