ZipRecruiter

Log In

2

Entry Level Quant Trader Jobs (NOW HIRING)

Bracebridge Capital

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

... 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 ...

Bracebridge Capital

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

... 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 ...

PR Girl Manifesto

$73 - $109/hr

Position Summary The Quantitative Risk Management (QRM) Analyst is responsible for the daily ... This role ensures the accuracy and integrity of pipeline and trade data, updates and reconciles ...

Guild

Capital Markets QRM Analyst

San Diego, CA · On-site +1

$72K - $109K/yr

Position Summary The Quantitative Risk Management (QRM) Analyst is responsible for the daily ... This role ensures the accuracy and integrity of pipeline and trade data, updates and reconciles ...

Tecolote

Cost Analyst (Entry Level)

Ogden, UT · On-site

$70 - $95/hr

... as trade studies and providing subject matter expertise during proposal evaluations. Skills ... Excellent verbal communication, written, and quantitative analytical skills in data science ...

StepStone Group

2027 Private Equity Analyst

New York, NY · Hybrid

$112K/yr

This role is part of StepStone's First STEP Program, our entry level early careers program designed ... Perform quantitative and qualitative research and financial modeling/analysis on companies and ...

Quantech Services, Inc.

$60K/yr

... trade studies and economic analyses -Assist program managers in development and execution of ... -Entry level to one year of experience. Relevant education/experience in quantitative analysis ...

previous page

Showing results 41-60

All JobsFinance and Insurance JobsBank JobsInvestment Banker JobsEntry Level Quant Trader Jobs

Entry Level Quant Trader information

See salary details

$11K

$112.4K

$195.5K

How much do entry level quant trader jobs pay per year?

As of Sep 5, 2026, the average yearly pay for entry level quant trader in the United States is $112,369.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $175,000.00 per year, depending on experience, location, and employer.

How to get hired as an entry level quant trader?

To get hired as an entry level quant trader, candidates typically need a strong background in mathematics, programming, and finance, often demonstrated through a degree in a quantitative field such as mathematics, physics, or computer science. Proficiency in programming languages like Python or C++, experience with data analysis, and familiarity with trading platforms are also important. Internships or relevant project experience can improve chances of securing an entry-level position in this competitive field.
More about Entry Level Quant Trader jobs

What cities are hiring for Entry Level Quant Trader jobs?

Cities with the most Entry Level Quant Trader job openings:

What are the most commonly searched types of Quant Trader jobs?

The most popular types of Quant Trader jobs are:

What job categories do people searching Entry Level Quant Trader jobs look for?

The top searched job categories for Entry Level Quant Trader jobs are:

Entry Level Quant Trader jobs near you
Infographic showing various Entry Level Quant Trader job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $112,369 per year, or $54 per hour.

Machine Learning Analyst

Bracebridge Capital

Boston, MA • On-site

$110K - $145K/yr

Full-time

Re-posted 22 days ago

Key responsibilities

  • Collaborate with team members, portfolio managers, and researchers to translate open-ended investment questions into analytical and machine learning problems

  • Develop, evaluate, and maintain data-driven machine learning and quantitative models related to investment problems

  • Document and communicate methods, assumptions, results, and limitations of models to other professionals

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.

Apply