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Entry Level Portfolio Manager Jobs in Boston, MA

The team's primary mission is to develop machine learning systems to answer open-ended investment questions and support portfolio management decisions. The team works across the project lifecycle and ...

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

The team's primary mission is to develop machine learning systems to answer open-ended investment questions and support portfolio management decisions. The team works across the project lifecycle and ...

ProSales Associate (Entry Level)

Billerica, MA · On-site

$28.85/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Learn Herc Rentals' full product and service portfolio, including the wide range of equipment ... Ability to manage time effectively in fast paced environments. * Willingness to learn, take ...

General Overview The Associate is a 2-year, entry level opportunity for an individual with a strong ... Assists with management of intellectual property portfolios. Shadows and contributes to the ...

Licensing Associate

Somerville, MA · On-site

$75K - $109K/yr

The Associate is a 2-year, entry level opportunity for an individual with a strong science ... Assists with management of intellectual property portfolios. * Shadows and contributes to the ...

Licensing Associate

Somerville, MA · On-site

$75K - $109K/yr

General Overview The Associate is a 2-year, entry level opportunity for an individual with a strong ... Portfolio Management * Supports internal processes across Licensing team to deliver robust, well ...

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Showing results 1-20

Entry Level Portfolio Manager information

See Boston, MA salary details

$40.2K

$109.1K

$203.7K

How much do entry level portfolio manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for entry level portfolio manager in Boston, MA is $109,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,200.00 and $141,200.00 per year, depending on experience, location, and employer.

What does an entry level portfolio manager do?

An Entry Level Portfolio Manager assists in managing investment portfolios by researching market trends, analyzing financial data, and supporting senior portfolio managers in decision-making. They help develop investment strategies, monitor portfolio performance, and ensure compliance with financial regulations. This role requires strong analytical skills, attention to detail, and a solid understanding of financial markets. It serves as a foundation for advancing to higher-level portfolio management positions.

What are the key skills and qualifications needed to thrive as an entry level portfolio manager?

To excel as an Entry Level Portfolio Manager, you typically need a bachelor's degree in finance, economics, or a related field, along with strong analytical and quantitative skills. Familiarity with financial modeling software, portfolio management systems, and certifications such as CFA Level 1 can be advantageous. Attention to detail, effective communication, and a collaborative mindset are important soft skills in this role. These capabilities enable you to make informed investment decisions, manage client expectations, and work efficiently within a team-driven environment.

What are the most commonly searched types of Portfolio Manager jobs in Boston, MA?

The most popular types of Portfolio Manager jobs in Boston, MA are:

What are popular job titles related to Entry Level Portfolio Manager jobs in Boston, MA?

For Entry Level Portfolio Manager jobs in Boston, MA, the most frequently searched job titles are:

Infographic showing various Entry Level Portfolio Manager job openings in Boston, MA as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $109,138 per year, or $52.5 per hour.

$110K - $145K/yr

Full-time

Re-posted 4 days ago


Job description

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning team. The team's primary mission is to develop machine learning systems to answer open-ended investment questions and support portfolio management decisions. The team works across the project lifecycle and technical stack, from ideation, understanding and analyzing data, hypothesis generation and testing, and model development all the way through to the deployment and maintenance of models and systems in production. Our work spans statistical modeling, classical machine learning, and modern AI and LLM techniques.

The Machine Learning Analyst's primary responsibility will be to contribute to these efforts alongside other team members. Over time, you will develop the technical and domain expertise needed to take increasing ownership of individual components and ultimately end-to-end projects.

The work is highly collaborative and spans quantitative research, software engineering, and machine learning. Analysts work with other members of the machine learning team and portfolio managers to translate loosely defined investment ideas into practical tools and models. Successful candidates will have solid programming foundations, be comfortable translating between qualitative and quantitative descriptions of problems and be excited to build data analysis and machine learning systems against the backdrop of portfolio management.

Since the team works closely with trading floor personnel to assist with portfolio management decision-making, an interest in economic and financial markets is essential, but no specific prior experience is necessary.

This role is open to candidates available to begin in the near term, as well as students expecting to complete their undergraduate degree between Fall 2026 and Summer 2027. Start dates will be determined based on candidate availability and, for students, degree completion.

 Responsibilities:

  • Collaborate closely with Machine Learning team members, portfolio managers, and researchers to translate open-ended investment questions into well-defined analytical and machine learning problems
  • Develop and evaluate data-driven machine learning and quantitative models, including simulation- and optimization-based approaches, for investment-related problems
  • Contribute to maintaining existing models and analytic tools in production
  • Over time, take ownership of individual features and components and full projects
  • Clearly document and communicate methods, assumptions, results, and limitations of models to other researchers and trading professionals across the firm
  • Stay current with relevant new techniques and technologies in machine learning and artificial intelligence, particularly as they pertain to finance and investing

Qualifications:

  • Bachelor's degree (or equivalent) in a rigorous quantitative field
  • 0-2 years of experience through industry internships, undergraduate research or thesis, or substantial independent technical projects involving software development, data analysis, or machine learning
  • Proficiency in Python and familiarity with the Python data science stack (NumPy, SciPy, Pandas, scikit-learn, etc), with experience in other languages a plus
  • Experience working with and analyzing data from multiple sources and in multiple formats
  • Familiarity with machine learning and statistical modeling fundamentals, including model evaluation and experimental design
  • Demonstrated ability to independently scope and execute open-ended technical projects
  • Interest in financial markets, intellectual curiosity, and comfort in working on open-ended problems
  • Strong written and verbal communication skills

Current anticipated annual base salary range: $110,000 - $145,000

Base salary within the range will be determined by various factors including but not limited to the individual's experience, skills and qualifications.