Jobs at Acadian Asset Management

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.

The Senior Associate in Investment Operations oversees portfolio accounting, manages client onboarding, ensures regulatory compliance, and identifies process improvements. They drive initiatives to enhance operational strategies, support fund administration, and maintain market documentation.

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.

Partners with Performance Attribution, Investment Operations, technology teams, and vendors to analyze investment workflows, resolve data and systems issues, and deliver scalable technology solutions. Leads business analysis through the software delivery lifecycle, improves operational efficiency and resiliency, shapes performance and attribution capabilities, and mentors teammates. Requires deep investment management expertise, particularly in performance attribution, securities operations, portfolio accounting, or related disciplines.

Lead and coordinate company engagements to capture ESG intelligence, maintain stewardship databases, support quantitative ESG assessments, and develop AI-enabled stewardship tools using Python, SQL, and generative AI. Communicate insights to portfolio managers and produce stewardship reporting.

Lead and coordinate company engagements, capture and maintain ESG intelligence, support quantitative ESG assessments and stewardship reporting, share insights with investment teams, and use Python and AI tools to clean, analyze large datasets and develop AI-enabled stewardship tools.

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 Investment AI Engineer will design, build, and operate AI workflows for investment processes, collaborating with researchers and portfolio managers to improve automation and efficiency.

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.

Lead and build Acadian's tax function; advise on corporate, partnership, fund, executive, and cross-border tax matters; oversee tax compliance, accounting, transfer pricing, and regulatory reporting; partner with business leaders on product and fund structuring; manage external advisors and develop scalable processes and controls.

The role involves overseeing client portfolios, enhancing investment processes, leading client meetings, and participating in policy discussions, requiring extensive experience in finance and quantitative investing.