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Entry Level Finance Jobs in Woonsocket, RI (NOW HIRING)

Bracebridge Capital

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

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 ...

NYL - Boston

Financial Planner

Westborough, MA · On-site

$80K - $150K/yr

We are seeking an eager, strategic, and definitive financial advisor to fill an entry-level position that offers room for growth and a promising job outlook. Our ideal candidate will be driven by the ...

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 position that offers room for growth and a promising job outlook. Our ideal candidate will be driven by the ...

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All JobsFinance JobsEntry Level Finance JobsEntry Level Finance Jobs in Woonsocket, RI

Entry Level Finance information

See Woonsocket, RI salary details

$12

$26

$52

How much do entry level finance jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for entry level finance in Woonsocket, RI is $26.61, according to ZipRecruiter salary data. Most workers in this role earn between $18.41 and $28.80 per hour, depending on experience, location, and employer.

What are entry level finance jobs?

Entry-Level Finance jobs are an excellent way to get your start in a career in the finance industry. Jobs like Financial Analyst, Junior Tax Associate, Financial Auditor, Investment Banking Analyst, Financial Advisor, and Stockbroker are entr-level positions in the financial sector. The financial industry is quite competitive, so your qualifications and network are essential elements for getting hired. Staying current with financial news will ensure that you have talking points for networking events and job interviews.

What are entry level finance jobs?

Entry level finance jobs are positions designed for individuals who are just starting their careers in the finance industry, often requiring little to no prior professional experience. These roles may include positions such as financial analyst, junior accountant, bank teller, or finance assistant. Entry level finance jobs typically focus on tasks like data analysis, preparing financial reports, assisting with budgeting, and supporting senior finance staff. They provide valuable hands-on experience and foundational knowledge necessary for advancement in the finance field.

What are the key skills and qualifications needed to thrive as an entry level finance professional?

To thrive as an Entry Level Finance professional, you need a strong grasp of financial principles, analytical skills, and a degree in finance, accounting, or a related field. Familiarity with Microsoft Excel, financial modeling software, and basic accounting systems is typically expected. Attention to detail, strong communication, and a willingness to learn are standout soft skills in this role. These abilities are essential for ensuring accuracy, effective collaboration, and growth within the finance industry.

What are some typical projects or tasks an entry level finance professional might work on in their first year?

Entry Level Finance professionals often support senior analysts and managers by preparing financial reports, reconciling accounts, assisting with budgeting processes, and analyzing financial data. They may also help with internal audits, process invoices, and participate in month-end or quarter-end closing activities. Collaborating with accounting, operations, and other departments is common, providing exposure to various aspects of the finance function and helping to build a strong foundational skill set.

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

AspectEntry Level FinanceFinancial Analyst
Required CredentialsBachelor's degree in finance, accounting, or related fieldBachelor's degree; often preferred: finance, economics, or accounting; certifications like CFA are a plus
Work EnvironmentCorporate offices, banks, financial institutionsCorporate finance departments, investment firms, banks
Employer & Industry UsageEntry-level roles across finance sectorsMid-level roles, but often entry-level for new graduates
Common Search & ComparisonYesYes

Entry Level Finance roles are typically the starting positions requiring a bachelor's degree and involve basic financial tasks. Financial Analysts usually have similar educational backgrounds but may require additional certifications and handle more complex analysis. Both roles are found in similar environments like banks and corporate finance departments, with Financial Analyst roles often serving as a step up from Entry Level Finance positions.

How do I get into entry level finance with no experience?

Entry level finance positions often require strong analytical skills, basic understanding of financial concepts, and proficiency with tools like Excel. Gaining relevant certifications such as the CFA Level 1 or completing internships can improve your chances, even without prior experience. Networking and applying for entry-level roles that offer on-the-job training are also effective strategies.

How do I start a career in finance entry level with no experience?

To start a career as a finance entry-level professional with no experience, focus on gaining relevant skills such as basic accounting, Excel proficiency, and understanding financial statements through online courses or certifications like the CFA Level 1. Internships or volunteer opportunities can provide practical experience, and applying for entry-level roles that require minimal experience can help you get started in the field.

What is an entry-level position in finance?

An entry-level position in finance is a role suitable for individuals with little to no professional experience in the field, often requiring basic knowledge of financial principles and tools like Excel. Common positions include finance assistant, junior analyst, or accounting clerk, and they typically involve supporting senior staff and gaining industry experience.

What is an entry-level position in finance?

An entry-level finance position is a role suitable for individuals with little to no professional experience in finance. These roles often involve tasks such as data analysis, financial reporting, or supporting senior staff, and typically require basic knowledge of financial principles and tools like Excel or financial software.

What is the best entry level finance job?

Entry level finance jobs include roles such as financial analyst, accounting assistant, or bank teller. These positions typically require strong analytical skills, proficiency with Excel, and a bachelor's degree in finance, accounting, or related fields. They offer opportunities to gain industry experience and develop foundational financial knowledge.

What is the best entry-level finance job?

An entry-level finance job such as a financial analyst or accounting assistant typically involves data analysis, financial reporting, and using tools like Excel or accounting software. These roles often require a bachelor's degree in finance, accounting, or related fields and may offer opportunities for certification like the CFA or CPA to advance in the field.
More about Entry Level Finance jobs

What are the most commonly searched types of Finance jobs in Woonsocket, RI?

The most popular types of Finance jobs in Woonsocket, RI are:

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For Entry Level Finance jobs in Woonsocket, RI, the most frequently searched job titles are:

What cities near Woonsocket, RI are hiring for Entry Level Finance jobs?

Cities near Woonsocket, RI with the most Entry Level Finance job openings:

Entry Level Finance jobs near you
Infographic showing various Entry Level Finance job openings in Woonsocket, RI as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $55,348 per year, or $26.6 per hour.

Machine Learning Analyst

Bracebridge Capital

Boston, MA • On-site

$110K - $145K/yr

Full-time

Re-posted 23 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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