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Day Shift Quantitative Risk Modeler Jobs (NOW HIRING)

Quanta Search

Quantitative Risk Analyst

Manhattan, NY

Quantitative Risk Analysts perform research to identify opportunities for improved risk management ... Evaluate and validate price and risk models to ensure the soundness and correct application of the ...

Quanta Search

Quantitative Risk Analyst

Manhattan, NY · On-site

Quantitative Risk Analysts perform research to identify opportunities for improved risk management ... Evaluate and validate price and risk models to ensure the soundness and correct application of the ...

Gunvor

Quantitative Risk Analyst

Houston, TX

Take ownership of model(s) including accurate position assessment with understanding of contract maturity behavior and seasonality. Streamline and improve processes such as data quality checks and ...

Gunvor

Quantitative Risk Analyst

Houston, TX · On-site

Main Responsibilities • Develop and implement quantitative risk models and metrics for trading operations. • Take ownership of model(s) including accurate position assessment with understanding ...

Ryan Specialty

Quantitative Risk Modeling Lead

Position Summary As a Quantitative Risk Modeling Led in the Ryan Credit Solutions department at ... In addition to paid time off for company holidays, vacation, sick and personal days, Ryan offers ...

Wsfsbank

Quantitative Risk Analyst

Philadelphia, PA

$64K - $105K/yr

NewLane Finance is seeking an individual to assist the credit and risk modeling and analytics ... This role will be responsible for providing analytical/quantitative input to help develop ...

WSFS Bank

Quantitative Risk Analyst

Philadelphia, PA · On-site

$64K - $105K/yr

NewLane Finance is seeking an individual to assist the credit and risk modeling and analytics ... This role will be responsible for providing analytical/quantitative input to help develop ...

WSFS Bank

Quantitative Risk Analyst

Philadelphia, PA

$64K - $105K/yr

NewLane Finance is seeking an individual to assist the credit and risk modeling and analytics ... This role will be responsible for providing analytical/quantitative input to help develop ...

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How much do day shift quantitative risk modeler jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for day shift quantitative risk modeler in the United States is $40.33, according to ZipRecruiter salary data. Most workers in this role earn between $31.25 and $43.51 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Shift Quantitative Risk Modeler jobs? The most popular types of Shift Quantitative Risk Modeler jobs are:
Day Shift Quantitative Risk Modeler jobs near you
Infographic showing various Day Shift Quantitative Risk Modeler job openings in the United States as of May 2026, with employment types broken down into 2% Locum Tenens, 2% As Needed, 78% Full Time, 3% Part Time, and 15% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $83,896 per year, or $40.3 per hour.
Quantitative Risk Modeler -- 16757

Quantitative Risk Modeler -- 16757

Seneca Resources Company, LLC

Vienna, VA • On-site

$60 - $72/hr

Contractor

Posted 21 hours ago

Job description

Title: Quantitative Risk Modeler
Location: Vienna, VA OR Winchester, VA OR Pensacola, FL
Job Type: Contract (extensions expected)
Years of Experience: 10+ years and/or doctorate degree required
Pay Rate:
Pensacola Pay : $60/hr on W2 or $72/hr on C2C
Winchester Pay : $63.00/hr on W2 or $71/hr on C2C
Vienna Pay:$70/hr on W2 or $77/hr on C2C
Role Summary
This is a senior-level (10+ years / PhD) position focused on quantitative modeling for cybersecurity risk. It blends:
  • Advanced mathematics & statistics
  • Machine learning & probabilistic modeling
  • Cybersecurity analytics
  • Data engineering + visualization
Core Responsibilities (implied)
Although not explicitly listed, based on the requirements, you'd likely:
  • Build risk models using probability, statistics, and ML
  • Apply game theory to simulate attacker vs defender scenarios
  • Analyze large datasets (cyber/security data)
  • Design data pipelines and models
  • Create dashboards and visualizations for leadership
  • Translate complex technical insights into business decisions
Required Qualifications
Very high bar:
  • PhD in Mathematics, Physics, or Statistics (or equivalent deep experience)
  • 10+ years of experience
Strong theoretical background in:
  • Probabilistic theory
  • Dynamic systems
  • Statistical modeling
  • Machine learning algorithms
Technical Skills
You're expected to be very strong in:
  • Programming: Python, SQL
  • Tools: Jupyter Notebook / VS Code
  • Data concepts:
    • Data modeling
    • Data mining
    • Database design
  • Visualization:
    • Strategy + tools like Power BI, Plotly
Advanced / Niche Expertise
This is what makes the role elite-level:
  • Game Theory (important!)
    • Bayesian games
    • Nash equilibrium
    • Algorithmic game theory
  • Cybersecurity knowledge:
    • Security frameworks
    • Risk analytics
Soft Skills
They emphasize:
  • Communication with both technical & non-technical stakeholders
  • Presentation skills (likely reporting to leadership)
  • Ability to simplify complex models into actionable insights.

About Seneca Resources:
Seneca Resources is client driven provider of strategic Information Technology consulting services and Workforce Solutions to government and industry. Seneca Resources is a leading IT services provider with offices in Reston, Virginia, Alabama and Columbia, Maryland that service clients throughout the United States. The key to our success lies within our strong corporate culture which drives our business. We challenge our staff through engaging work, and we reward our staff through competitive compensation, extensive professional training, and excellent opportunities for career advancement. In turn, we look for only the best and brightest to join our team. We are an Equal Opportunity Employer and value the benefits of diversity in our workplace.

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