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Entry Level Quant Developer Jobs (NOW HIRING)

ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative ... Programming in Python (or comparable language) and working knowledge of SQL * Strong analytical and ...

ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative ... Programming in Python (or comparable language) and working knowledge of SQL * Strong analytical and ...

... Engineering, and Legal firms, in search of entry-level financial analysts for our rapidly growing ... Responsibilities โ€ข Mapping and analyzing quantitative data โ€ข Preparing management reports โ€ข ...

... Engineering, and Legal firms, in search of entry-level financial analysts for our rapidly growing ... Responsibilities โ€ข Mapping and analyzing quantitative data โ€ข Preparing management reports โ€ข ...

Entry-Level Analyst U.S. citizenship required. Are you a critical thinker with acumen for problem ... Engineering, etc.) Requirements: Candidates must be proficient in quantitative analysis, project ...

... Engineering, and Legal firms, in search of entry-level financial analysts for our rapidly growing ... Mapping and analyzing quantitative data * Preparing management reports * Managing cash flow and ...

Quantitative Researcher

New York, NY ยท On-site

$190K - $250K/yr

Experience Required: Entry-level (PhD Program) or Experienced (Postdoc, Faculty, Scientific Lab ... PhD in Math, Science, Engineering and other relevant disciplines The PDT team - a quantitative ...

Quantitative Researcher

New York, NY ยท Hybrid

$190K - $250K/yr

Experience Required: Entry-level (PhD Program) or Experienced (Postdoc, Faculty, Scientific Lab ... PhD in Math, Science, Engineering and other relevant disciplines The PDT team - a quantitative ...

Collect, organize, and analyze large datasets using programming languages like R, Python, or ... Skilled at engaging with stakeholders from entrylevel employees to executive leadership. * Strong ...

Collect, organize, and analyze large datasets using programming languages like R, Python, or ... Skilled at engaging with stakeholders from entrylevel employees to executive leadership. * Strong ...

Collect, organize, and analyze large datasets using programming languages like R, Python, or ... Skilled at engaging with stakeholders from entrylevel employees to executive leadership. * Strong ...

Collect, organize, and analyze large datasets using programming languages like R, Python, or ... Skilled at engaging with stakeholders from entrylevel employees to executive leadership. * Strong ...

Collect, organize, and analyze large datasets using programming languages like R, Python, or ... Skilled at engaging with stakeholders from entrylevel employees to executive leadership. * Strong ...

Collect, organize, and analyze large datasets using programming languages like R, Python, or ... Skilled at engaging with stakeholders from entrylevel employees to executive leadership. * Strong ...

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Entry Level Quant Developer information

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$98K

$169.7K

$259.5K

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

As of Jul 13, 2026, the average yearly pay for entry level quant developer 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.

What are the key skills and qualifications needed to thrive as an Entry Level Quant Developer, and why are they important?

To thrive as an Entry Level Quant Developer, you need strong quantitative skills, programming proficiency (such as Python, C++, or Java), and a background in mathematics, statistics, or a related field. Familiarity with financial modeling tools, statistical analysis software, and version control systems like Git is often required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for collaborating with teams and translating complex data into actionable insights. These skills and qualities are essential for developing robust quantitative models and supporting data-driven decision-making in fast-paced financial environments.

What is the difference between Entry Level Quant Developer vs Quant Analyst?

AspectEntry Level Quant DeveloperQuant Analyst
Required CredentialsBachelor's in Math, CS, or Finance; programming skillsBachelor's or Master's in Finance, Economics, or Math; strong analytical skills
Work EnvironmentFinancial firms, hedge funds, trading desks; coding-focusedFinancial institutions, asset management; analysis and modeling
Employer & Industry UsageCommon in trading firms, hedge funds, investment banksPrevalent in asset management, hedge funds, banks

While both roles involve quantitative skills, Entry Level Quant Developers focus on coding and implementing trading algorithms, whereas Quant Analysts primarily analyze data and develop financial models. The roles often overlap but differ mainly in their core responsibilities and daily tasks.

What are some typical challenges faced by entry level quant developers when transitioning from academia to a professional finance environment?

Entry level quant developers often find the transition from academic settings to professional finance environments challenging due to the fast-paced nature of the industry and the need for effective collaboration with traders, analysts, and senior developers. In addition to applying their quantitative and programming skills, new hires must quickly adapt to production-level coding standards, version control systems, and the need for rigorous code reviews. Time-sensitive problem-solving and balancing multiple projects are common, making communication and prioritization essential skills. Proactively seeking mentorship and being open to feedback can significantly ease this transition and foster professional growth.

What are entry level quant developers?

Entry level quant developers are professionals who use mathematical models, programming, and data analysis to help financial institutions make trading decisions or manage risk. They typically work with large datasets and implement algorithms in programming languages like Python, C++, or Java. While entry level roles may focus more on coding and supporting senior quants, they provide a strong foundation in both finance and technology. These roles often require strong analytical skills, basic financial knowledge, and proficiency in at least one programming language.
More about Entry Level Quant Developer jobs
What cities are hiring for Entry Level Quant Developer jobs? Cities with the most Entry Level Quant Developer job openings:
What are the most commonly searched types of Quant Developer jobs? The most popular types of Quant Developer jobs are:
What states have the most Entry Level Quant Developer jobs? States with the most job openings for Entry Level Quant Developer jobs include:
Infographic showing various Entry Level Quant Developer job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.
Cubist Quantitative Researcher

Cubist Quantitative Researcher

Point72

Chicago, IL โ€ข On-site

Full-time

Re-posted 20 days ago


Job description

ABOUT CUBIST
Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
ROLE
Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group.
RESPONSIBILITIES
  • Conduct original quantitative alpha signal research
  • Follow, digest and analyze the latest academic research
  • Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis
  • Build analytical tools to supplement our shared research framework

REQUIRMENTS
  • B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
  • Programming in Python (or comparable language) and working knowledge of SQL
  • Strong analytical and quantitative skills.
  • Willingness to take ownership of his/her work.
  • Ability to work both independently and collaboratively within a team.
  • Strong desire to deliver high quality results in a timely fashion.
  • Detail-oriented.
  • Prior experience in the financial services industry is not required.
  • A commitment to the highest ethical standards.