Job Title: Portfolio AssistantReports to (title): Senior VP, Head of Equity TradingJob Description:The Portfolio Assistant will provide dedicated day-to-day support to the Portfolio Manager, with a focus on portfolio administration, portfolio data, reporting, and AI-enabled workflow improvement. The role will help maintain accurate portfolio information, prepare analyses and materials, coordinate portfolio-related activities, and identify opportunities to use artificial intelligence and automation to improve efficiency and decision support. This position is well suited for an analytical, detail-oriented early-career professional whose relevant AI experience may have been developed through academic programs, internships, research, projects, or professional work.
Duties & Responsibilities:- Provide dedicated administrative and analytical support to the Portfolio Manager in the day-to-day management of investment portfolios.
- Maintain portfolio holdings, cash balances, investment records, watch lists, research files, and other portfolio data.
- Prepare and distribute portfolio, performance, exposure, risk, cash, and other recurring reports for the Portfolio Manager.
- Collect, organize, validate, and analyze portfolio, market, economic, and company data to support investment decision-making.
- Use AI-powered tools, automation, and data analytics to improve portfolio reporting, research organization, data validation, and recurring administrative workflows.
- Help develop, test, document, and maintain AI-enabled processes while applying appropriate review, confidentiality, and data-quality controls.
- Assist with portfolio rebalancing, investment implementation, corporate actions, and other portfolio administration activities in coordination with Trading and Operations.
- Coordinate portfolio and investment meetings, maintain agendas and follow-up items, and prepare presentation and meeting materials.
- Monitor earnings announcements, corporate actions, and other events that may affect portfolio holdings, and organize relevant information for review.
- Review portfolio and transaction data for accuracy and consistency with internal policies and applicable requirements.
- Partner with Portfolio Management, Trading, Operations, Compliance, Technology, and other investment professionals to resolve portfolio data and administrative matters.
- Support ad hoc analyses, AI initiatives, process-improvement projects, and other assignments requested by the Portfolio Manager.
Qualifications:- Bachelor's degree in Finance, Economics, Business, Accounting, Data Science, Computer Science, Artificial Intelligence, or a related field, or an equivalent combination of education and experience.
- Cumulative GPA of 3.0 or above in a 4.0 scale is required
- Ideally 1-3 years' prior experience
- Early-career candidates and recent graduates will be considered. Relevant experience may come from internships, academic research, coursework, capstone projects, independent projects, or professional roles.
- Demonstrated experience applying AI, machine learning, automation, or data analytics to practical problems. Several years of meaningful AI experience gained during college may be considered.
- Portfolio administration, investment operations, portfolio management support, or asset management experience is preferred but not required for a candidate with strong relevant academic or project experience.
- Basic understanding of equity markets, investment products, portfolio management concepts, and investment operations.
- Ability to work effectively with Portfolio Management, Trading, Operations, Compliance, and Technology teams.
- Strong written and verbal communication skills.
- Demonstrated attention to detail, accuracy, organization, and follow-through.
- Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
- Progress toward or interest in pursuing the CFA designation is a plus.
Skills:- Required proficiency in Word, Excel, EDGAR (i.e. SEC electronic filing System)
- Proficiency in Microsoft Office Suite, particularly Excel, PowerPoint, and Outlook.
- Hands-on ability to use generative AI, machine learning, automation, or data-analysis tools to organize information, analyze data, automate recurring work, and improve reporting accuracy.
- Ability to evaluate AI-generated output, validate source data and results, document processes, and handle confidential investment information appropriately.
- Experience with Python, SQL, Microsoft Copilot, Power Automate, or comparable tools is preferred.
- Knowledge of Bloomberg, FactSet, Charles River, Morningstar Direct, or similar investment management platforms is preferred.
- Strong analytical, quantitative, and problem-solving skills.
- Ability to interpret financial data, portfolio reports, and investment information.
- Excellent organizational skills and strong attention to detail.
- Ability to manage multiple tasks and priorities while maintaining accuracy.
- Strong interpersonal skills and the ability to build effective working relationships across teams.
- Ability to maintain confidentiality and exercise sound judgment when handling sensitive investment information.
- Ability to work effectively in a fast-paced, collaborative environment.
Salary Expectations: $90,000-120,000 base salary plus discretionary bonus per performance
Note: This job description should not be construed to imply that these requirements are the exclusive standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as may be required. The employer has the right to revise this job description at any time. This job description is not to be construed as a contract for employment.
