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Entry Level Quantitative Modeling Jobs (NOW HIRING)

AgSource

Quantitative Geneticist

Madison, WI · On-site

Utilize genomic data and/or machine learning to enhance prediction models. * Collect, organize, and ... Skilled at engaging with stakeholders from entry-level employees to executive leadership. * Strong ...

Farm Systems

Quantitative Geneticist

Madison, WI

Utilize genomic data and/or machine learning to enhance prediction models. * Collect, organize, and ... Skilled at engaging with stakeholders from entrylevel employees to executive leadership. * Strong ...

Alta Genetics

Quantitative Geneticist

Madison, WI · On-site

Utilize genomic data and/or machine learning to enhance prediction models. * Collect, organize, and ... Skilled at engaging with stakeholders from entry-level employees to executive leadership. * Strong ...

Alta Genetics

Quantitative Geneticist

Madison, WI

Utilize genomic data and/or machine learning to enhance prediction models. * Collect, organize, and ... Skilled at engaging with stakeholders from entrylevel employees to executive leadership. * Strong ...

Urus

Quantitative Geneticist

Madison, WI

Utilize genomic data and/or machine learning to enhance prediction models. * Collect, organize, and ... Skilled at engaging with stakeholders from entrylevel employees to executive leadership. * Strong ...

Alta Genetics

Quantitative Geneticist

Madison, WI · On-site

Utilize genomic data and/or machine learning to enhance prediction models. * Collect, organize, and ... Skilled at engaging with stakeholders from entry-level employees to executive leadership. * Strong ...

Urus Group LP

Quantitative Geneticist

Madison, WI

Utilize genomic data and/or machine learning to enhance prediction models. * Collect, organize, and ... Skilled at engaging with stakeholders from entrylevel employees to executive leadership. * Strong ...

AgSource

Quantitative Geneticist

Madison, WI

Utilize genomic data and/or machine learning to enhance prediction models. * Collect, organize, and ... Skilled at engaging with stakeholders from entrylevel employees to executive leadership. * Strong ...

Augur Consulting Inc

Entry-Level Analyst

Arlington, VA · On-site

If you like problem solving, working in a dynamic team environment, and quantitative analysis, this ... Development and maintenance of complex cost models, life cycle cost analysis, cost risk analysis ...

Augur Consulting

Entry-Level Analyst

Arlington, VA · On-site

If you like problem solving, working in a dynamic team environment, and quantitative analysis, this ... Development and maintenance of complex cost models, life cycle cost analysis, cost risk analysis ...

Airship

Business Value Analyst

Chicago, IL · On-site +1

Experience with quantitative modeling. Familiarity with technology and/or enterprise software. Experience in B2C, Retail, Travel, or Media. Experience in account strategy support, as well as ...

Airship

Experience with quantitative modeling * Familiarity with technology and/or enterprise software * Experience in B2C, Retail, Travel, or Media * Experience in account strategy support, as well as ...

Airship

Business Value Analyst

Experience with quantitative modeling * Familiarity with technology and/or enterprise software * Experience in B2C, Retail, Travel, or Media * Experience in account strategy support, as well as ...

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Entry Level Quantitative Modeling information

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

As of Jun 5, 2026, the average yearly pay for entry level quantitative modeling in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by entry-level quantitative modelers when transitioning from academic studies to a professional environment?

Entry-level quantitative modelers often encounter the challenge of adapting their theoretical knowledge to solve real-world business problems, which can be less structured than academic exercises. Working in a professional setting typically requires collaborating with cross-functional teams, communicating complex quantitative findings to non-technical stakeholders, and managing tight deadlines. Additionally, new modelers must quickly learn industry-specific tools and data sources while adhering to regulatory and organizational standards. Support from senior team members and ongoing training can help ease this transition.

What is the difference between Entry Level Quantitative Modeling vs Entry Level Data Analysis?

AspectEntry Level Quantitative ModelingEntry Level Data Analysis
Required SkillsMathematics, programming, financial knowledgeStatistics, data manipulation, visualization
Work EnvironmentFinance, banking, hedge fundsMarketing, consulting, tech companies
CertificationsQuantitative finance certifications (e.g., CQF)Data analysis certifications (e.g., Google Data Analytics)
Common UsageBuilding models for risk, pricing, tradingInterpreting data trends, reporting, dashboards

Entry Level Quantitative Modeling focuses on developing mathematical and computational models primarily for finance and trading. Entry Level Data Analysis emphasizes interpreting data to inform business decisions across various industries. While both roles require analytical skills, quantitative modeling is more technical and finance-oriented, whereas data analysis is broader and business-focused.

How much do entry-level quants make?

Entry-level quantitative analysts, or quants, typically earn between $70,000 and $100,000 annually, depending on the industry, location, and firm size. Compensation often includes bonuses and benefits, and strong skills in programming, mathematics, and data analysis are essential for starting salaries in this field.

What are the key skills and qualifications needed to thrive as an Entry Level Quantitative Modeling professional, and why are they important?

To thrive in Entry Level Quantitative Modeling, you need strong quantitative analysis skills, a solid background in mathematics or statistics, and at least a bachelor’s degree in a related field such as finance, mathematics, or computer science. Familiarity with programming languages like Python, R, or MATLAB and experience using statistical modeling tools are commonly required. Attention to detail, problem-solving abilities, and clear communication help professionals effectively interpret data and present complex findings to stakeholders. These skills and qualities are crucial for developing accurate models that inform business decisions and risk management strategies.

What is an entry level quantitative modeling job?

An entry level quantitative modeling job involves using mathematical, statistical, and computational techniques to analyze data and create models that help businesses make informed decisions. People in these roles often work with large datasets, applying quantitative methods to solve problems in finance, risk management, or data science. Typically, entry-level quantitative modelers assist with building and validating models, preparing reports, and supporting senior analysts or modelers. A strong background in mathematics, statistics, programming, and analytical thinking is essential for success in this field.
What cities are hiring for Entry Level Quantitative Modeling jobs? Cities with the most Entry Level Quantitative Modeling job openings:
What are the most commonly searched types of Quantitative Modeling jobs? The most popular types of Quantitative Modeling jobs are:
Entry Level Quantitative Modeling jobs near you
Quantitative Geneticist

Quantitative Geneticist

AgSource

Madison, WI • On-site

Full-time

Posted 24 days ago

Job description

Job Description
The Quantitative Geneticist at URUS is responsible for producing industry-leading bovine genetics through innovative quantitative genetics analysis and technical expertise. This role involves development of innovative approaches to genetic advancement with hands-on data analysis and analytical tasks to support scientific and operational excellence with operational goals to deploy genomic and genetic selection tools within the PEAK breeding program.
Reporting to the Chief Science Officer of Acceligen, who leads the team in the Genetic Advancement and Trait Discovery as part of the Innovation group at URUS. The Quantitative Geneticist will ideally be based in Madison, WI.
RESPONSIBILITIES
Research and Development
  • Support and develop proprietary genetic and phenotypic evaluations and/or indices using appropriate models and software.
  • Utilize genomic data and/or machine learning to enhance prediction models.
  • Collect, organize, and analyze large datasets using programming languages like R, Python, or Fortran
  • Design and refine software pipelines that empower end-users to work independently.
  • Use data-driven analysis to support project decision-making and breeding program optimization
  • Identify opportunities for innovation by actively following scientific developments in genetics, translating them into practical applications for URUS.
  • Ensure accuracy, reliability, and timely delivery of research outputs.

Strategic Communication and Planning
  • Prepare materials for URUS internal and external education channels.
  • Report on project status promptly and professionally.
  • Contribute to long-term research and innovation strategies.
  • Actively participate in team and cross-functional meetings.
  • Attend scientific, technical, and commercial events to support knowledge exchange and visibility.

Technical and Operational Support
  • Provide technical and operational support to URUS breeding programs to improve output and efficiency.
  • Interpret genetic evaluation results and communicate upcoming changes.
  • Monitor and troubleshoot trends in genetic rankings and performance data.
  • Maintain up-to-date professional and technical expertise relevant to genetics and operations.
  • Deploy genetic diversity management tools within the breeding program.

PROFESSIONAL QUALIFICATIONS AND EXPERIENCE
  • Ph.D. in Breeding and Genetics, Population Genetics, Quantitative Genetics, Plant Genetics, or a related field.
  • Knowledge of dairy or beef cattle production preferred.
  • Technical and Scientific Expertise
    • Demonstrated experience with genomic evaluation processes, including data ingestion and integration, genotype imputation, variance component estimation, and breeding value prediction.
    • Strong background in statistical analysis of large and complex datasets.
    • Knowledge of genome-wide association analysis (GWAS).
    • Familiarity with dairy or beef cattle production systems (preferred).
  • Programming and Software Skills
    • Proficiency with genetic evaluation and statistical software such as ASReml, BLUPF90, Fortran, R, Python, and SQL.
    • Experience working in cloud environments, particularly Microsoft Azure and Azure Databricks
    • Proficient in Microsoft Office applications.
  • Excellent communication skills with fluency in English.
  • Ability to build strong, effective relationships across teams and organizational levels.
  • Skilled at engaging with stakeholders from entry-level employees to executive leadership.
  • Strong interpersonal, analytical, and decision-making abilities.
  • Effective time-management skills and the ability to balance multiple priorities.
  • Intellectual curiosity with a commitment to continuous learning and identifying new opportunities.
  • Willingness to travel occasionally.

About Us
As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS. Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.

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