Top Tech Jobs & Startup Jobs in Boston, MA

Design, develop, and maintain database-driven business applications and data transformation workflows. Collect user requirements, implement application integrations, use unit testing and TDD for data validation, monitor and troubleshoot performance, modernize data processes with cloud technologies, and automate scheduling for production data flows.

The Global Fund Tax Manager provides tax compliance and advisory services to investment funds, manages tax issues, and drives operational efficiency initiatives.

The Equity Analyst will research Asian Financials, conduct fundamental research, build financial models, and communicate investment insights to portfolio managers.

The Relationship Management Associate will support business development and client service efforts, onboarding new clients, and maintaining relationships with Registered Investment Advisors.

The Associate National Account Manager supports senior managers in client relationships and business development within private markets, focusing on client inquiries, onboarding, and platform execution.

The Associate will assist equity analysts and portfolio managers in integrating AI tools into fundamental research, enhance workflows, educate teams, and identify AI-driven solutions for improved investment processes.

The Investment Risk Manager will oversee liquidity risk management, provide strategic direction, monitor compliance, produce reports, and engage with stakeholders.

The Quantitative Portfolio Manager will develop and manage systematic equity strategies, focusing on portfolio construction, risk management, and alpha research to align with client objectives.

The Head of Insurance General Account Solutions – US is responsible for strategic leadership, client engagement, and solution design for insurance clients, addressing regulatory and investment needs, while collaborating across teams to deliver tailored investment solutions.

Partner with portfolio managers to maintain and enhance portfolio and risk analytics, build and validate data pipelines, develop production-quality Python/SQL analytics and automation, support simulation/backtesting for strategic asset allocation, integrate AI-enabled capabilities responsibly, and deliver reproducible reporting and documentation.