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Entry Level Quantitative Risk Modeler Jobs (NOW HIRING)

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 ...

Senior Quantitative Software Engineer

Jersey City, NJ · On-site

$134K - $176K/yr

Support quantitative risk model implementations to support the Financial Risk Management department * Design, build, and maintain data pipelines leveraging Python, Snowflake, and relational databases

Senior Quantitative Software Engineer

Jersey City, NJ · Hybrid

$127K - $168K/yr

Support quantitative risk model implementations to support the Financial Risk Management department * Design, build, and maintain data pipelines leveraging Python, Snowflake, and relational databases

C2H QRL (Quant Risk Libraries) implements risk models to ensure that the bank's lending portfolios have adequate capital during a crisis. We use mathematical modeling and the latest technologies to ...

Project Risk Specialist

New York, NY · On-site

$45 - $65/hr

Quantitative Risk Analysis and Modeling * Support Quantitative Risk Assessments (QRA) for cost and schedule. * Assist with Monte Carlo risk modeling using Authority-approved tools, including:

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Entry Level Quantitative Risk Modeler information

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$259.5K

How much do entry level quantitative risk modeler jobs pay per year?

As of Jun 7, 2026, the average yearly pay for entry level quantitative risk modeler 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.
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What cities are hiring for Entry Level Quantitative Risk Modeler jobs? Cities with the most Entry Level Quantitative Risk Modeler job openings:
What are the most commonly searched types of Quantitative Risk Modeler jobs? The most popular types of Quantitative Risk Modeler jobs are:
What states have the most Entry Level Quantitative Risk Modeler jobs? States with the most job openings for Entry Level Quantitative Risk Modeler jobs include:
What job categories do people searching Entry Level Quantitative Risk Modeler jobs look for? The top searched job categories for Entry Level Quantitative Risk Modeler jobs are:
Infographic showing various Entry Level Quantitative Risk Modeler job openings in the United States as of May 2026, with employment types broken down into 8% As Needed, 75% Full Time, and 17% Part Time. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.
Cubist Quantitative Researcher

Cubist Quantitative Researcher

Point72

Seattle, WA

Other

Posted 18 hours 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.Â