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Entrylevel Financial Analyst Jobs in Wellesley, MA

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning ... Interest in financial markets, intellectual curiosity, and comfort in working on open-ended ...

Financial Planner

Westborough, MA · On-site

$78K - $105K/yr

... an entry-level position that offers room for growth and a promising job outlook. Our ideal ... analytical field is preferable, but not required

We are seeking an eager, strategic, and definitive financial advisor to fill an entry-level ... A Bachelor's degree in finance, business administration, or alternate related analytical field is ...

Supply Chain Analyst (Entry Level) Visa: OPT EAD, CPT, H4-EAD, and other EAD holders encouraged to ... Collaborate with cross-functional teams (procurement, operations, logistics, finance) to ensure ...

Showing results 21-40

Entrylevel Financial Analyst information

See Wellesley, MA salary details

$42.2K

$96.6K

$129.4K

How much do entrylevel financial analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for entrylevel financial analyst in Wellesley, MA is $96,648.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,800.00 and $121,200.00 per year, depending on experience, location, and employer.

What is the difference between Entrylevel Financial Analyst vs Financial Associate?

AspectEntrylevel Financial AnalystFinancial Associate
Required CredentialsBachelor's degree in finance, accounting, or related field; internships often preferredBachelor's degree in finance, economics, or related field; similar internship experience
Work EnvironmentCorporate finance departments, investment firms, or banks; analytical and data-driven tasksFinancial services firms, banks, or investment companies; client-facing and support roles
Employer & Industry UsageCommonly used in finance, banking, and investment industriesUsed across banking, asset management, and financial services sectors

Both roles typically require a bachelor's degree and similar internships. An Entrylevel Financial Analyst focuses more on analyzing financial data and supporting decision-making, while a Financial Associate often handles client interactions and support tasks. The roles overlap in industry and credentials but differ slightly in daily responsibilities.

What are popular job titles related to Entrylevel Financial Analyst jobs in Wellesley, MA?

For Entrylevel Financial Analyst jobs in Wellesley, MA, the most frequently searched job titles are:

What job categories do people searching Entrylevel Financial Analyst jobs in Wellesley, MA look for?

The top searched job categories for Entrylevel Financial Analyst jobs in Wellesley, MA are:

What cities near Wellesley, MA are hiring for Entrylevel Financial Analyst jobs?

Cities near Wellesley, MA with the most Entrylevel Financial Analyst job openings:

Infographic showing various Entrylevel Financial Analyst job openings in Wellesley, MA as of August 2026, with employment types broken down into 8% Internship, 86% Full Time, 3% Part Time, and 3% Temporary. Highlights an 80% In-person, 14% Hybrid, and 6% Remote job distribution, with an average salary of $96,648 per year, or $46.5 per hour.

Machine Learning Analyst

Bracebridge Capital

Boston, MA • On-site

$110K - $145K/yr

Full-time

Re-posted 22 days ago


Job description

Bracebridge Capital, LLC is a leading alternative asset manager with approximately $12 billion of net assets under management. The firm pursues investment strategies primarily within the global fixed income markets with the objectives of capital preservation and absolute return without significant correlation to equity, interest rate and foreign exchange markets. Established in 1994, Bracebridge manages private investment funds that serve endowments, foundations, pension funds and other institutional and high-net-worth investors.
Approximately 170 employees operate from our office located in Boston's historic Back Bay. The entrepreneurial and collaborative culture at Bracebridge rewards and supports motivated, dedicated, enthusiastic and intellectually curious individuals. We believe our firm's greatest asset is the people who work here.
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.