Morgan Stanley

www.morganstanley.com

2 Jobs

90,696 Employees

About the Company

Morgan Stanley (NYSE: MS) is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in 42 countries, our firm's employees serve clients worldwide including corporations, governments, institutions and individuals.

We are committed to maintaining the first-class service and high standard of excellence that have always defined the firm and everything we do is guided by our five core values: Do the right thing, put clients first, lead with exceptional ideas, commit to diversity and inclusion, and give back.

Listed Jobs

Company Name: Morgan Stanley
Job Title: Governance/Data Lifecycle Management VP (Hybrid)
Job Description: **Job Title:** Governance / Data Lifecycle Management Vice President (Hybrid) **Role Summary:** Lead the escalation and resolution of complex Data Lifecycle Management (DLM) issues, oversee global DLM team performance, and ensure adherence to retention, archive, and disposal policies. Act as liaison between business units, governance teams, and Information Management, driving process compliance and continuous improvement. **Expactations:** - 6+ years of financial‑services experience in data/information governance, records management, or compliance. - Ability to work autonomously, prioritize multiple requests, and communicate effectively with senior leadership. - Proficiency in Microsoft 365 and bilingual (English/French) communication. **Key Responsibilities:** - Serve as intermediate escalation point for DLM inquiries and guide stakeholders to timely resolutions. - Monitor and report DLM team performance against quarterly/annual goals; provide metrics to leadership. - Communicate retention policies, disposal timelines, and system decommissioning requirements. - Liaise with business units and governance groups to interpret policies and manage complex cases. - Ensure implementation of compliance controls and track their effectiveness. - Develop and refine information‑management processes and procedures in partnership with risk and business partners. - Lead continuous‑improvement initiatives and promote new DLM products/solutions. - Conduct awareness training for functional leaders, system owners, and service owners. **Required Skills:** - Advanced knowledge of records‑management principles and retention schedule design. - Strong analytical and reporting capabilities. - Excellent written and verbal communication; ability to influence senior stakeholders. - Detail‑oriented with strong policy interpretation skills. - Project management and multitasking proficiency. - Microsoft 365 (Outlook, Teams) competency. **Required Education & Certifications:** - Bachelor’s degree (any discipline). - Relevant certifications (e.g., Certified Information Governance Professional, Certified Records Manager) preferred but not mandatory.

Company Name: Morgan Stanley
Job Title: Senior Python Developer (multiple opportunities) (Hybrid)
Job Description: Job title: Senior Python Developer Role Summary: Design, develop, and maintain data‑infrastructure pipelines and forecasting services in Python, driving accurate financial models, AI‑enhanced forecasting, and robust data governance across enterprise platforms. Expactations: - Deliver production‑grade Python code with comprehensive unit and integration tests. - Ensure performance, reliability, and numerical consistency of forecast outputs. - Follow agile processes, CI/CD pipelines, code reviews, and documentation standards. - Communicate progress and technical decisions clearly to cross‑functional stakeholders. - Continuously improve processes and adopt emerging AI and platform tools. Key Responsibilities: - Build and maintain Python data pipelines, orchestration services, and automation workflows. - Develop and expose secure APIs, schemas, and runbooks for forecast model execution. - Troubleshoot end‑to‑end pipeline issues, implement durable fixes, and augment controls for regulated processes. - Collaborate with finance leadership, platform engineers, and data owners to refine business requirements into technical solutions. - Apply AI‑driven techniques (agents, automation) to accelerate delivery and extend forecasting intelligence. - Produce technical specifications, API contracts, and operational documentation. - Identify and implement cycle‑time reduction opportunities (caching, reusable libraries, schema optimization). - Coach and share knowledge on Python, data engineering, platform tooling, and Agentic AI practices. Required Skills: - Advanced Python programming; experience with Pandas, NumPy, or similar. - Data pipeline design, orchestration, and automation expertise. - Fundamental data science knowledge, including structured data handling and basic statistical concepts. - Strong database, data structure, and SQL skills; familiarity with other query languages is a plus. - Version control (Git), code review, automated testing, and CI/CD pipeline experience. - Excellent problem‑solving and analytical skills; keen attention to detail. - Effective written and spoken communication; stakeholder engagement across technical and non‑technical teams. - Willingness to learn and apply AI‑driven development methodologies. - Knowledge of Java or other OOP languages is an asset. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.