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Entry Level Quantitative Analyst Jobs (NOW HIRING)

Bracebridge Capital

Machine Learning Analyst

Boston, MA

$110K - $145K/yr

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 ...

New

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Business Analyst

South Jordan, UT · On-site

$20 - $25/hr

Entry-Level Business Analyst Location: Onsite | Monday-Friday Position Type: Contract-to-Hire ... Qualified opportunities will then be transitioned to the Quantitative Team for further analysis.

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Bracebridge Capital

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

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 ...

Reli.

Marketing Analyst

Cerritos, CA

$75K - $90K/yr

This is not an entry-level position , but rather a role for an experienced hire. We are looking for ... quantitative analysis. * Strong Attention to Detail - Understanding the importance of following ...

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Westlake Village, CA · On-site

$107K - $132K/yr

Quantitative Processes & DataEngineering - Create and maintain quantitative processes including ... Masters or MBA in related field preferred. * Entry level knowledge of residential mortgage industry ...

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$3.0K - $4.0K/mo

This entry-level opportunity is ideal for recent graduates with strong quantitative skills who are ... Analyze campaign data daily and recommend data-driven improvements to maximize performance.

Reli.

Marketing Analyst

Cerritos, CA · On-site

$75K - $90K/yr

This is not an entry-level position , but rather a role for an experienced hire. We are looking for ... quantitative analysis. * Strong Attention to Detail - Understanding the importance of following ...

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Entry Level Quantitative Analyst information

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$56.5K

$133.9K

$240K

How much do entry level quantitative analyst jobs pay per year?

As of Jul 17, 2026, the average yearly pay for entry level quantitative analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

How much do entry level quant analysts make?

Entry-level quantitative analysts typically earn between $60,000 and $80,000 annually, depending on the industry, location, and educational background. Starting salaries can increase with proficiency in programming languages like Python or R, and familiarity with financial modeling and data analysis tools.

What does a typical day look like for an Entry Level Quantitative Analyst?

A typical day as an Entry Level Quantitative Analyst involves analyzing large data sets, building statistical models, and generating reports to support business or investment decisions. You may collaborate closely with other analysts, data scientists, or portfolio managers to interpret data and brainstorm solutions to complex problems. Daily tasks often include coding, data cleaning, and presenting findings to non-technical colleagues. Over time, you’ll gain exposure to more sophisticated projects and can take on greater responsibilities as your experience grows. This diverse workload helps develop both technical expertise and industry knowledge for future career advancement.

Can you get into quant without experience?

Entry level quantitative analyst roles typically require some background in mathematics, programming, or finance, but prior work experience is not always necessary. Strong analytical skills, proficiency in tools like Python or R, and relevant coursework or certifications can help candidates qualify. Internships or project work can also improve chances of entering the field without formal experience.

What are the key skills and qualifications needed to thrive in the Entry Level Quantitative Analyst position, and why are they important?

To thrive as an Entry Level Quantitative Analyst, you need strong analytical and mathematical skills, proficiency in statistical modeling, and a degree in a quantitative field such as mathematics, statistics, finance, or computer science. Familiarity with programming languages like Python, R, or SQL and experience using data analysis tools such as Excel, MATLAB, or statistical software are often expected. Excellent problem-solving abilities, communication skills, and attention to detail will help you stand out in this position. These competencies enable you to interpret complex data, deliver actionable insights, and collaborate effectively within fast-paced, data-driven teams.

Will AI replace quant analysts?

AI can automate certain tasks performed by quantitative analysts, such as data analysis and model testing, but it is unlikely to fully replace the role. Quantitative analysts will continue to be essential for developing complex models, interpreting results, and making strategic decisions that require human judgment and expertise. Skills in programming, statistical analysis, and financial knowledge remain valuable in this evolving field.

Is 40 too old to become a quant?

Entry level quantitative analyst roles typically require strong mathematical, programming, and statistical skills, which can be developed at any age. Age is generally not a barrier if you have relevant education, experience, and the ability to learn new tools like Python or R; many professionals transition into quant roles later in their careers.

What is an Entry Level Quantitative Analyst job?

An Entry Level Quantitative Analyst uses mathematical models, statistical techniques, and data analysis to support financial decision-making. They typically work in finance, investment, or risk management, analyzing market trends, evaluating trading strategies, or assessing risk. This role requires strong analytical skills, programming proficiency (often in Python, R, or SQL), and knowledge of financial concepts. It serves as a foundation for more advanced quantitative roles, providing hands-on experience with real-world data and financial models.

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Entry Level Quantitative Analyst jobs near you
Machine Learning Analyst

Machine Learning Analyst

Bracebridge Capital

Boston, MA

$110K - $145K/yr

Other

Posted 2 days ago

New

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.

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