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Quantitative Model Developer Jobs (NOW HIRING)

U.S. Bank

Quantitative Model Analyst

Cincinnati, OH · On-site

... programming skills and qualitative analysis skills - Thorough knowledge of the quantitative and ... modeling. -Ability to partner cross-functionally and communicate analytical insights clearly in ...

US Bank

Quantitative Model Analyst

Cincinnati, OH

... programming skills and qualitative analysis skills - Thorough knowledge of the quantitative and ... modeling. -Ability to partner crossfunctionally and communicate analytical insights clearly in ...

Purple Drive Technologies

QUANT ANALYTICS

Cleveland, OH · On-site

... of quantitative modeling methods (including AI/ML algorithms) used for various Finance predictive models Proficiency in programming languages such as Python, R, SQL or SAS. Excellent written and ...

US Bank

Quantitative Model Analyst 2

Charlotte, NC

The model-building process is holistic, and will include estimating, validating, testing ... programming skills and qualitative analysis skills - Thorough knowledge of the quantitative and ...

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Quantitative Model Developer information

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$169.7K

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How much do quantitative model developer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for quantitative model 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 a Quantitative Model Developer, and why are they important?

To excel as a Quantitative Model Developer, you need strong mathematical and statistical skills, proficiency in programming languages like Python, R, or C++, and typically a degree in mathematics, statistics, computer science, or a related field. Experience with modeling frameworks, data analysis tools, and familiarity with quantitative finance platforms such as MATLAB or QuantLib are commonly required. Critical thinking, attention to detail, and effective communication are important soft skills for interpreting complex data and collaborating with cross-functional teams. These abilities are essential for developing accurate, reliable models that inform financial decision-making and risk management.

How does a Quantitative Model Developer typically collaborate with other teams within a financial institution?

Quantitative Model Developers frequently work alongside risk management, trading, and IT departments to ensure that financial models are both robust and aligned with business objectives. They often translate complex mathematical concepts for stakeholders, assist in model implementation, and respond to feedback or changing requirements. Collaboration is key, as they must ensure models are technically sound, regulatory compliant, and seamlessly integrated into production systems. Regular communication and interdisciplinary teamwork are essential for resolving challenges and delivering effective solutions.

What is the difference between Quantitative Model Developer vs Quantitative Analyst?

AspectQuantitative Model DeveloperQuantitative Analyst
Primary FocusDesigning, developing, and implementing quantitative modelsAnalyzing data to inform trading, investment, or risk decisions
Skills & CertificationsProgramming (Python, C++, R), quantitative finance, model developmentData analysis, statistical skills, financial knowledge
Work EnvironmentQuant teams in finance firms, hedge funds, banksResearch teams, trading desks, investment firms
Common UsageBuilding models used in trading algorithms and risk managementInterpreting data to support investment strategies

While both roles require quantitative skills and finance knowledge, Quantitative Model Developers focus on creating and coding models, whereas Quantitative Analysts analyze data to guide decisions. The roles often overlap but differ mainly in their core responsibilities and technical focus.

What does a Quantitative Model Developer do?

A Quantitative Model Developer designs, implements, and maintains mathematical models used in finance, banking, or other industries to analyze data and support decision-making. They use programming languages, statistical techniques, and financial theory to develop models for tasks such as risk assessment, pricing, or forecasting. These professionals work closely with traders, analysts, and other stakeholders to ensure the models are accurate, efficient, and aligned with business goals.
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Quantitative Model Developer jobs near you
Infographic showing various Quantitative Model Developer job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 87% Full Time, 2% Part Time, 5% Temporary, 2% Contract, and 2% Nights. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.
Quantitative Analytics Specialist

Quantitative Analytics Specialist

TalentBridge

Charlotte, NC

Other

Posted yesterday

Job description

Quantitative Model Developer – Risk Analytics & Capital Markets

Location: Charlotte, NC - Onsite
Duration: Long-Term Contract
Industry: Financial Services / Capital Markets

About the Opportunity

We are seeking an experienced Quantitative Model Developer to join a high-performing Risk & Analytics team supporting enterprise-level capital markets and exposure management initiatives. This role is ideal for a quantitative professional who enjoys solving complex mathematical problems, developing sophisticated risk methodologies, and building scalable analytical solutions in a fast-paced financial environment.

You will work closely with quantitative analysts, risk managers, technology teams, and senior business stakeholders to enhance critical risk analytics frameworks used across complex financial products and portfolios.

This position offers excellent visibility, challenging analytical work, and the opportunity to contribute directly to strategic decision-making across the organization.

Key ResponsibilitiesQuantitative Modeling & Analytics
  • Develop, enhance, and maintain quantitative models used for exposure measurement, risk assessment, and portfolio analytics.
  • Analyze existing methodologies and identify opportunities for optimization and performance improvement.
  • Apply advanced statistical, probabilistic, and stochastic modeling techniques to solve complex business and risk management challenges.
  • Validate assumptions, derive mathematical models, and evaluate model performance.
  • Support model governance, documentation, testing, and validation activities.
Python Development & Analytical Solutions
  • Design and develop Python-based analytical libraries, quantitative tools, and reusable modeling frameworks.
  • Build prototypes and collaborate with technology teams to support production implementation.
  • Leverage automation and modern development practices to improve efficiency and scalability.
  • Utilize SQL to extract, analyze, and validate large datasets used in quantitative models.
Stakeholder Collaboration
  • Partner with risk management, quantitative research, technology, and business teams to deliver analytical solutions.
  • Translate business requirements into technical and quantitative specifications.
  • Communicate complex quantitative concepts to both technical and non-technical audiences.
  • Support strategic initiatives through data-driven analysis and model enhancements.
Operational Excellence
  • Deliver model enhancements, analytics, and documentation within established timelines.
  • Support evolving business priorities and analytical requests.
  • Ensure compliance with internal controls, governance standards, and risk management frameworks.
  • Mentor junior analysts and contribute to knowledge-sharing initiatives.
Required Qualifications
  • 5+ years of experience in Quantitative Analytics, Quantitative Modeling, Financial Engineering, Risk Analytics, or a related field.
  • Strong Python programming skills with experience developing scalable analytical solutions.
  • Advanced SQL skills and experience working with large and complex datasets.
  • Solid foundation in:
    • Mathematics
    • Statistics
    • Probability Theory
    • Stochastic Modeling
    • Quantitative Analysis
  • Experience developing, enhancing, implementing, or validating quantitative models.
  • Strong analytical thinking and problem-solving abilities.
  • Excellent communication and stakeholder management skills.
Preferred Qualifications
  • Experience supporting:
    • Risk Analytics
    • Exposure Analytics
    • Capital Markets
    • Trading Analytics
    • Counterparty Risk
    • Market Risk
    • Credit Risk
  • Experience working with derivatives, structured products, or other complex financial instruments.
  • Familiarity with modern software development practices and AI-assisted development tools.
  • Prior experience mentoring analysts or developers.
  • Advanced degree in:
    • Mathematics
    • Statistics
    • Financial Engineering
    • Physics
    • Economics
    • Computer Science
    • Related quantitative discipline
Desired Technical Skills
  • Python
  • SQL
  • Quantitative Modeling
  • Statistical Analysis
  • Stochastic Processes
  • Risk Analytics
  • Financial Engineering
  • Data Analysis
  • Model Validation
  • Capital Markets
  • Exposure Modeling
  • Financial Mathematics

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