Analyst, Tech Solutions

Location: New York, ChicagoDepartment: TechnologyExperience Level: Experience ProfessionalsContact: Elizabeth DennehyJob ID: REQ8768Role Overview Join our Technology Solutions team, dedicated to empowering Portfolio Managers (PMs) and Analysts with world-class technical solutions and timely, hands-on support. As a member of the team, you will have the opportunity to work with, educate users, and become an expert in a variety of data sets, applications, and world-class investment platforms. This business-facing, high-impact role offers exposure to front office, investment workflow, technology, and infrastructure teams within a premier multi-strategy fund. If you are naturally curious and driven by learning new skills, this is the role for you. Key Responsibilities User Enablement & Support: Act as the primary point of contact for PMs and Analysts, providing high-touch support, training, and enablement for BAM’s suite of data products, data pipelines, and research/analytic tools. Data Delivery & Integration: Facilitate the delivery, analysis, and integration of financial, market, and alternative datasets using Python, SQL, and modern cloud tools (e.g., AWS, Airflow, Git). Workflow Automation & Best Practices: Collaborate with analytics and engineering teams to automate data workflows, improve knowledge bases, and educate users on data-driven best practices. Stakeholder Collaboration: Connect stakeholders across the firm to identify solutions, champion product enhancements, and share knowledge globally. Knowledge Management: Maintain and expand BAM’s Knowledge Base and training materials based on user feedback and your own experience supporting diverse investment workflows. Incident Management: Deliver high-quality, proactive incident management and service delivery, ensuring timely resolution of user issues and continuous improvement of support processes. Required (must have one of the following): 3-5 years in application or user support for trading/investment systems, or direct experience with front/middle/back-office tooling. 3-5 years of financial data wrangling, Python/SQL/data pipeline experience, or data product enablement. General Requirements: Bachelor’s degree or higher in Computer Science, Engineering, Finance, Math, or related field (or relevant equivalent experience). Demonstrated expertise in troubleshooting, problem-solving, and clear stakeholder communication (both written and verbal). Familiarity with cloud, automation, and/or database concepts (with willingness to broaden skill set across tracks). Preferred/Bonus: Experience in a hedge fund, investment bank, or commodities environment. Exposure to time-series, market, or alternative data sets and analytic tools.