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Sr Quantitative Analyst Jobs (NOW HIRING)

Overview We are seeking a Senior Quantitative Analyst within the Model and Allowance Analysis team. Responsibilities * Participate in developing and implementing credit risk models for the use of ...

Senior Quantitative Analyst

Boston, MA ยท Hybrid

$110K - $120K/yr

Victory Capital Management, Inc. seeks Senior Quantitative Analyst in Boston, MA to develop and implement quantitative models to be used in trading and portfolio management of fixed income ...

Senior Quantitative Analyst

Boston, MA ยท On-site

$110K - $120K/yr

Victory Capital Management, Inc. seeks Senior Quantitative Analyst in Boston, MA to develop and implement quantitative models to be used in trading and portfolio management of fixed income ...

Senior Quantitative Analyst

Pasadena, CA ยท On-site

$100K - $165K/yr

We are seeking a Senior Quantitative Analyst within the Model and Allowance Analysis team. * Participate in developing and implementing credit risk models for the use of CECL (develop, test, document ...

Senior Quant Developer / Quantitative Modeler Location: Hybrid role in Charlotte, NC 28202 (3 day ... ASAP - Apply Now ! Pay-range: 75-80/hr This appears to be a Bank - Quantitative Analytics ...

Senior Quant Developer / Quantitative Modeler Location: Hybrid role in Charlotte, NC 28202 (3 day ... This appears to be a Bank - Quantitative Analytics Specialist 4 (Contingent) opening focused on ...

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Sr Quantitative Analyst information

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$56.5K

$133.9K

$240K

How much do sr quantitative analyst jobs pay per year?

As of Jul 13, 2026, the average yearly pay for sr quantitative analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Sr Quantitative Analyst, and why are they important?

To thrive as a Sr Quantitative Analyst, you need advanced quantitative and analytical skills, a strong foundation in statistics, mathematics, and programming, typically supported by a relevant degree or higher education (such as a master's or PhD). Expertise with tools like Python, R, SQL, and statistical modeling software, as well as experience in financial systems or data analytics platforms, is commonly required. Exceptional problem-solving ability, attention to detail, and effective communication skills make candidates stand out in this role. These competencies are crucial for developing accurate models, interpreting complex data, and providing actionable insights that drive business decisions.

How do Sr Quantitative Analysts typically collaborate with other departments within a financial organization?

Sr Quantitative Analysts frequently work cross-functionally with teams such as risk management, trading, IT, and data engineering. They translate complex quantitative models into actionable insights for decision-makers, often presenting their findings to both technical and non-technical stakeholders. Close collaboration ensures that models are aligned with business objectives, regulatory requirements, and operational constraints. This teamwork also enables continuous feedback and model refinement, fostering a dynamic and supportive work environment.

What is the difference between Sr Quantitative Analyst vs Quantitative Analyst?

AspectSr Quantitative AnalystQuantitative Analyst
Required CredentialsBachelor's or Master's in Finance, Mathematics, or related field; often 3+ years experienceBachelor's or Master's in similar fields; entry to mid-level experience
Work EnvironmentFinancial firms, hedge funds, investment banksFinancial institutions, asset management firms, trading desks
Employer & Industry UsageUsed for senior roles with leadership responsibilitiesCommon entry to mid-level role in finance industry

The main difference between a Sr Quantitative Analyst and a Quantitative Analyst lies in experience and responsibility. The senior role typically requires more experience, leadership, and complex project management, whereas the standard Quantitative Analyst is often an entry to mid-level position focused on data analysis and model development.

What are Sr Quantitative Analysts?

Sr Quantitative Analysts are experienced professionals who use advanced mathematical, statistical, and computational techniques to analyze complex financial data and inform business decisions. They often work in industries like finance, banking, or insurance, developing models to assess risk, forecast trends, or optimize investment strategies. Their expertise helps organizations make data-driven decisions, improve efficiency, and manage financial risks effectively.
More about Sr Quantitative Analyst jobs
What cities are hiring for Sr Quantitative Analyst jobs? Cities with the most Sr Quantitative Analyst job openings:
What states have the most Sr Quantitative Analyst jobs? States with the most job openings for Sr Quantitative Analyst jobs include:
What job categories do people searching Sr Quantitative Analyst jobs look for? The top searched job categories for Sr Quantitative Analyst jobs are:
Infographic showing various Sr Quantitative Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.
Senior Quantitative Analyst

Senior Quantitative Analyst

talentmovers inc

New York, NY โ€ข On-site

Contractor

Re-posted 21 days ago


Job description

ย 

ServiceNow Developer Certification is mandatory

ย 

Position Details

Requirement

Client

Role

Senior Quantitative Analyst - Fixed Income and Market Risk

Location (Need Local Candidates only)

NYC, NY (Need local candidates only) (3days Onsite)

Type of Hire - Contract/ C2H

Contract

Salary Range (in USD)

on c2c

Job Description

Description

  • Proven experience in pricing and risk modeling for fixed income trading products, with a focus on leveraged loans.
  • Strong understanding of model theory, calibration techniques, and dynamics of one-factor interest rate models, including the Hull-White model.
  • Advanced Python programming skills, with hands-on experience in testing financial models.
  • Experience with Numerix or comparable vendor-based modeling systems.
  • Proficient in designing and validating Profit and Loss (PnL) attribution frameworks.
  • Deep knowledge of market risk concepts and regulatory standards, including Value at Risk (VaR) using historical simulation, model sensitivity analysis (Greeks), and model validation practices aligned with SR 11-7 guidelines.
  • Demonstrated expertise in model development documentation, and implementation guides.
  • Excellent communication skills โ€“ both verbal and written.
  • Collaborative Team player with a proven track record of taking initiative and delivering results.
  • Excellent skills with Excel, Word and PowerPoint are mandatory.
  • Advanced degree (Masterโ€™s or Ph.D.) in a quantitative discipline such as Finance, Engineering, Physics, Mathematics, Statistics, Computer Science, or Quantitative Finance, with a strong background in modeling.
  • Minimum of 7-10 years of experience in developing and/or validating trading book market risk models within the financial services industry.