Top Tech Jobs & Startup Jobs in Boston, MA

Participate in a 10-week quantitative investment internship in Boston, owning a substantial project from framing through delivery. Projects may involve developing investment signals, analyzing risk models, portfolio construction, trading costs, investment tools, data pipelines, or modernizing production systems. Interns use Python and real data to conduct empirical or computational research, collaborate with investment teams, and present findings. The program is intended for Master's and PhD candidates in quantitative disciplines, with potential full-time opportunities for strong performers.

Provides administrative and scheduling support to the CTO and IT leadership team. Coordinates meetings, events, onboarding and offboarding, travel, calendars, invoices, purchase orders, vendor documentation, presentations, and departmental communications. Collaborates with HR, Finance, Procurement, Facilities, and other internal teams while maintaining records and supporting IT department projects. Uses technology and AI-enabled tools to improve administrative efficiency.

Build and operate cloud platform services supporting investment applications, AI workloads, and quantitative research. Develop reusable infrastructure-as-code components, Kubernetes GitOps workflows, CI/CD automation, observability, security controls, and cost optimization. Partner with development teams, troubleshoot operational issues, modernize the technology stack, document systems, review code, and participate in an on-call rotation. The role requires AWS, Kubernetes, Linux, infrastructure-as-code, software development, cloud security, networking, and observability experience.

Manages full-cycle recruiting across assigned business areas, including sourcing, screening, interview coordination, candidate evaluation, offer support, and candidate communication. Partners with hiring managers and HR colleagues to develop recruiting strategies, build talent pipelines, and improve recruiting processes. Coordinates job postings, recruiting events, onboarding-related activities, and hiring administration while managing multiple searches and priorities.

Supports recruiting, hiring, onboarding, employee orientation, performance management, HR programs, employee records, HR systems, reporting, and intranet content. The role maintains accurate confidential data, coordinates time-sensitive processes, assists with system administration and troubleshooting, and contributes to HR projects and process improvements. It offers broad exposure to global HR operations and requires strong organization, discretion, communication, technology skills, and follow-through.

Partners with managers and employees to align HR strategy with business goals. Advises on talent management, performance evaluation, employee relations, succession planning, learning and organizational development. Develops and evaluates professional development programs, supports HR technology initiatives, and contributes to firmwide HR strategy in a global, hybrid environment.

Serves as the liaison between business stakeholders and Technology for Acadian’s Global Client Group. Defines requirements, analyzes processes and data, designs and tests solutions, coordinates user acceptance testing, supports production issues, documents workflows, and contributes to technology roadmaps. The role supports client reporting, CRM and marketing technology, business intelligence, master data, AI initiatives, and enterprise data platforms while improving efficiency, data quality, controls, and user experience.

Leads enterprise AI architecture and delivers production-grade AI platforms and solutions. Designs agentic systems, RAG applications, LLM integrations, evaluations, monitoring, and lifecycle management. Partners with investment, engineering, risk, security, compliance, and business teams to build scalable, governed AI capabilities. Establishes technical standards, embeds controls for regulated environments, drives adoption, and mentors teams through technical influence.

Own and evolve an internal portfolio management and decomposition platform. Build full-stack applications and backend systems for high-performance data processing, attribution, and reporting. Collaborate with PMs, quants, and engineers to deliver scalable, cloud-ready tools that support real-time investment decision-making and improve the investment process.

The Principal Quant Engineer will design and implement a quantitative platform for investment research and production systems, collaborating with various teams to enhance architecture, technology, and operational productivity in quantitative finance.