Top Tech Jobs & Startup Jobs

Provide financial analysis, reporting, and automation for Wealth Management Advisor Channel. Produce and present analyses, maintain branch reporting, collaborate cross-functionally, respond to field inquiries, and deliver ad hoc and recurring reports to support business strategy and transparency.

Provide legal advice on structuring, distributing, marketing, diligence and ongoing support for alternative investment and private markets products. Review offering documents, negotiate distribution and client account agreements, manage outside counsel, advise on co-investments, secondaries and direct private securities, interpret securities laws and regulatory requirements, and support fund launches, regulatory inquiries, and cross-functional projects.

The Data Engineer will design and implement ETL frameworks, perform data analysis, troubleshoot data issues, and optimize data models to meet business needs.

The role involves leading deliverables in Finance, managing risks, facilitating communication across projects, and adhering to regulatory standards. A collaborative approach and in-depth industry knowledge are essential.

Wealth Management Associates provide client support, enhance relationships with clients, assist Financial Advisors, and support business development activities, ensuring exceptional client service.

Lead lifecycle and performance marketing to drive acquisition, activation, retention, and monetization. Build automated journeys (HubSpot), run paid search and social campaigns, manage media budgets, run A/B and multivariate tests, maintain analytics dashboards (Google Analytics, Mixpanel, Tableau), scale affiliate programs, and ensure regulatory compliance with internal Compliance and Morgan Stanley integrations.

Support wealth management teams through marketing and sales assistance, market research, and business exposure. Develop analytical, financial, and interpersonal skills while working on team assignments and learning about products, services, and client needs.

Responsible for executing assurance activities within ISG Operations by assessing risk management processes and using audit tools, including AI and Data Analytics.

Lead backend engineering for a cloud-native, data-intensive finance and P&L platform. Build and operate services (Java/Scala/Python) on Databricks and cloud, design secure scalable APIs, collaborate with finance and UI teams, and apply engineering best practices and AI/ML where valuable.

Lead technical strategy and roadmap for cloud/platform security; architect scalable security data platforms; enforce secure-by-design standards; drive automation of security controls and incident response; ensure reliability, observability, and governance; lead engineering teams and partner with security, product, and platform stakeholders to deliver secure AI and data solutions.