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Entry Level Financial Analyst Jobs in Wellesley, MA

Bracebridge Capital

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 ...

NYL - Boston

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

NYL - Boston

Financial Planner

Westborough, MA · On-site

$150K/yr

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 ...

Winaxis

Supply chain analyst

Waltham, MA · On-site

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 ...

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All JobsFinancial Analyst JobsEntry Level Financial Analyst JobsEntry Level Financial Analyst Jobs in Wellesley, MA

Entry Level Financial Analyst information

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How much do entry level financial analyst jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for entry level financial analyst in Wellesley, MA is $30.46, according to ZipRecruiter salary data. Most workers in this role earn between $21.11 and $32.98 per hour, depending on experience, location, and employer.

What is the job of an entry level financial analyst?

Entry-level financial analysts compile budget and income statement forecasts into reports. In this role, you analyze the information for a business and provide advice on how to improve the financial health of the company. As part of your duties, you may look at investments and stocks and provide information on their performance and how the company could better use their assets. You might also provide information on how to reduce operating costs. The entry-level financial analyst presents these findings to company decision-makers, who may not understand the nuances of accounting. Because of this, you may be required to explain your findings at a basic level.

What are the key skills and qualifications needed to thrive as an entry level financial analyst?

To thrive as an Entry Level Financial Analyst, you generally need a bachelor's degree in finance, accounting, or a related field, along with strong analytical and quantitative skills. Familiarity with Excel, financial modeling software, and sometimes experience with databases or ERP systems are typically required, and pursuing certifications like CFA Level I can be advantageous. Attention to detail, effective communication, and organizational abilities are standout soft skills in this role. These competencies are crucial for delivering accurate financial insights, supporting business decision-making, and ensuring reliable reporting within a fast-paced environment.

What are some common challenges faced by entry level financial analysts during their first year, and how can they overcome them?

Entry-level financial analysts often encounter challenges such as managing large volumes of data, meeting tight deadlines for reports, and quickly learning company-specific financial systems. To overcome these hurdles, it's helpful to actively seek mentorship from senior analysts, participate in training sessions to sharpen technical skills, and stay organized with task lists and calendar reminders. Building strong relationships with colleagues in finance and related departments can also provide valuable support and insight, making the transition smoother and more productive.

What is the difference between Entry Level Financial Analyst vs Financial Associate?

AspectEntry Level Financial AnalystFinancial Associate
Required CredentialsBachelor's in Finance, Economics, or related field; often some internship experienceBachelor's degree in Finance, Accounting, or related field; may require some certification
Work EnvironmentCorporate finance departments, investment firms, or banks; analytical and reporting tasksFinancial services firms, banks, or accounting firms; client-facing and support roles
Employer & Industry UsageCommonly used in finance, banking, and investment industriesUsed across banking, asset management, and financial services sectors

The main difference between an Entry Level Financial Analyst and a Financial Associate lies in their focus and responsibilities. Financial Analysts primarily analyze data, prepare reports, and support investment decisions, while Financial Associates often handle client interactions, support financial transactions, and assist with account management. Both roles require similar educational backgrounds, but their day-to-day tasks and career paths differ slightly, with Analysts more focused on analysis and Associates on client support.

Can I be an entry level financial analyst with no experience?

Entry level financial analyst positions typically require some knowledge of finance, accounting, or related fields, but many employers are willing to consider candidates with little to no professional experience if they demonstrate strong analytical skills, proficiency in Excel, and a willingness to learn. Internships, relevant coursework, or certifications like the CFA Level I can also improve chances of securing such roles. Employers often provide on-the-job training for entry-level candidates.

Is it hard to get hired as an entry level financial analyst?

Getting hired as an entry level financial analyst can be competitive, as employers often seek candidates with a bachelor's degree in finance, accounting, or related fields, along with strong analytical skills and proficiency in tools like Excel or financial modeling. Relevant internships or certifications such as CFA Level I can improve chances, but the hiring process typically involves multiple interviews and assessments. Overall, persistence and a solid understanding of financial principles are important for success in securing an entry level position.

What is an entry-level financial analyst?

An entry-level financial analyst is a professional who supports financial planning, analysis, and reporting within an organization. They typically perform data collection, financial modeling, and assist with budgeting and forecasting using tools like Excel, often requiring a bachelor's degree in finance, accounting, or a related field.
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Entry Level Financial Analyst jobs near you
Infographic showing various Entry Level Financial Analyst job openings in Wellesley, MA as of August 2026, with employment types broken down into 80% Full Time, 16% Part Time, 2% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $63,358 per year, or $30.5 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.

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