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Entry Level Quant Trading Jobs (NOW HIRING)

... 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 ...

New

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 ...

$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 ...

$55K - $80K/yr

Conduct business case analyses, trade studies and economic analyses * Assist program managers in ... * Entry level to one year of experience. Relevant education/experience in quantitative analysis ...

Trade Input * Assist in implementing portfolio changes across accounts DESIRED SKILLS/EXPERIENCE ... Proven quantitative/analytical skills * Strong verbal and written communication skills

Investment Associate

Pasadena, CA · On-site

$65K - $85K/yr

Trade Input * Assist in implementing portfolio changes across accounts DESIRED SKILLS/EXPERIENCE ... Proven quantitative/analytical skills * Strong verbal and written communication skills

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

Marketing Analyst

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 ...

This entry-level role provides recent graduates with the opportunity to work on high-impact ... Strong quantitative and qualitative analysis skills * Excellent written and verbal communication ...

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Entry Level Quant Trading information

See salary details

$98K

$169.7K

$259.5K

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

As of Jul 18, 2026, the average yearly pay for entry level quant trading in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

How much do entry level quant traders make?

Entry-level quant traders typically earn between $80,000 and $150,000 annually, including base salary and bonuses. Compensation varies based on firm size, location, and individual performance, with many firms offering performance-based incentives and opportunities to develop skills in programming and quantitative analysis.

What jobs make $1,000,000 a year?

In the field of quantitative trading, highly successful traders or hedge fund managers can earn over $1 million annually through profit sharing, bonuses, and management fees. These roles typically require advanced skills in mathematics, programming, and finance, along with significant experience and a strong track record of performance. Entry-level quant trading positions rarely reach this income level, as substantial earnings are usually associated with senior roles and proven success in the industry.

What is the difference between Entry Level Quant Trading vs Quant Research Analyst?

AspectEntry Level Quant TradingQuant Research Analyst
Required CredentialsBachelor's in Math, CS, or Finance; programming skillsBachelor's or Master's in Math, Stats, or Finance; programming skills
Work EnvironmentTrading desks, financial firms, fast-pacedResearch labs, financial firms, analytical
Employer & Industry UsageHedge funds, investment banks, trading firmsAsset managers, hedge funds, financial institutions
Common Search & ComparisonYesYes

Entry Level Quant Trading involves executing trading strategies and managing risk in real-time markets, often requiring quick decision-making. Quant Research Analysts focus on developing models and algorithms to inform trading strategies, emphasizing research and analysis. Both roles require strong quantitative skills and programming knowledge, but differ mainly in their focus—trading execution versus model development.

Can you get into quant without experience?

Entry level quant trading roles typically require strong quantitative skills, programming knowledge, and a solid understanding of financial markets. While prior experience is not always mandatory, candidates often have backgrounds in mathematics, computer science, or engineering, and may need to demonstrate proficiency through projects, internships, or relevant coursework.

Is 40 too old to become a quant?

Entry level quant trading roles typically require strong quantitative skills, programming knowledge, and often a background in mathematics, finance, or computer science. Age is generally not a barrier if you can demonstrate relevant skills, complete necessary training or certifications, and adapt to the fast-paced, data-driven environment of quantitative trading.
More about Entry Level Quant Trading jobs
What cities are hiring for Entry Level Quant Trading jobs? Cities with the most Entry Level Quant Trading job openings:
What are the most commonly searched types of Quant Trading jobs? The most popular types of Quant Trading jobs are:
What states have the most Entry Level Quant Trading jobs? States with the most job openings for Entry Level Quant Trading jobs include:
Infographic showing various Entry Level Quant Trading job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $169,729 per year, or $81.6 per hour.
Machine Learning Analyst

$110K - $145K/yr

Other

Posted 3 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.