Portfolio Assistant

Alger•New York, NY

5d•$90,000 - $120,000

About The Position

The Portfolio Assistant provides dedicated day-to-day administrative and analytical support to the Portfolio Manager, focusing on portfolio administration, portfolio data, reporting, and AI-enabled workflow improvement. The role maintains accurate portfolio information, prepares analyses and materials, coordinates portfolio-related activities, and identifies ways to use artificial intelligence and automation to improve efficiency and decision support. It is suited to an analytical, detail-oriented early-career professional; relevant AI experience may come from academic programs, internships, research, projects, or professional work. The position supports portfolio management through data maintenance and analysis, recurring reporting, investment and corporate-action coordination, meeting preparation, and review of portfolio and transaction data. It also helps develop, test, document, and maintain AI-enabled processes, with appropriate review, confidentiality, and data-quality controls, and collaborates with Portfolio Management, Trading, Operations, Compliance, Technology, and other investment professionals.

Requirements

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 at least 3.0 on a 4.0 scale.
Ideally 1–3 years of prior experience; early-career candidates and recent graduates will be considered.
Demonstrated experience applying AI, machine learning, automation, or data analytics to practical problems. Relevant experience may include academic research, coursework, capstone or independent projects, internships, or professional roles.
Basic understanding of equity markets, investment products, portfolio management concepts, and investment operations.
Required proficiency in Word, Excel, and EDGAR (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 appropriately handle confidential investment information.
Strong analytical, quantitative, and problem-solving skills; ability to interpret financial data, portfolio reports, and investment information.
Strong written and verbal communication skills, organizational skills, attention to detail, accuracy, and follow-through.
Ability to manage multiple priorities and deadlines in a fast-paced environment while maintaining accuracy.
Ability to work effectively in a fast-paced, collaborative environment and build effective relationships across teams.
Ability to maintain confidentiality and exercise sound judgment when handling sensitive investment information.

Nice To Haves

Portfolio administration, investment operations, portfolio management support, or asset management experience, though this is not required for candidates with strong relevant academic or project experience.
Experience with Python, SQL, Microsoft Copilot, Power Automate, or comparable tools.
Knowledge of Bloomberg, FactSet, Charles River, Morningstar Direct, or similar investment management platforms.
Progress toward or interest in pursuing the CFA designation.
Several years of meaningful AI experience gained during college may be considered.

Responsibilities

Provide day-to-day administrative and analytical support to the Portfolio Manager in managing investment portfolios.
Maintain portfolio holdings, cash balances, investment records, watch lists, research files, and other portfolio data.
Prepare and distribute recurring portfolio, performance, exposure, risk, cash, and other reports.
Collect, organize, validate, and analyze portfolio, market, economic, and company data to support investment decisions.
Use AI-powered tools, automation, and data analytics to improve 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 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.