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Quantitative Brokers Jobs (NOW HIRING)

Collabera LLC

Quantitative Analyst

Charlotte, NC · On-site

Cross-margin methodologies in prime brokerage/derivatives businesses * Quantitative model development and enhancement * Heavy Python development * Market risk modeling (VaR) without CCR exposure.

Collabera

Quantitative Analyst

Charlotte, NC · On-site

Counterparty Credit Risk modeling (not pricing models) Cross-margin methodologies in prime brokerage/derivatives businesses Quantitative model development and enhancement Heavy Python development ...

Corgi Insurance

Quantitative Associate

Chicago, IL · On-site

$200K - $350K/yr

We're not just a broker: we design, underwrite, price, and issue policies directly, with fewer ... Build and maintain quantitative models to support pricing, underwriting, forecasting, and business ...

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How much do quantitative brokers jobs pay per year?

As of Jul 18, 2026, the average yearly pay for quantitative brokers 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 Quantitative Brokers?

Quantitative Brokers are specialized financial firms or professionals that use advanced mathematical models, algorithms, and data analysis to execute trades in financial markets. Their goal is to achieve the best possible execution prices while minimizing market impact and trading costs. They often serve institutional clients such as hedge funds, asset managers, and pension funds, providing algorithmic trading strategies tailored to various asset classes. Quantitative Brokers leverage technology and quantitative research to optimize trading performance in highly competitive markets.

What is the salary of a quantitative broker?

The salary of a quantitative broker typically ranges from $100,000 to $200,000 annually, with experienced professionals earning higher compensation including bonuses and profit sharing. Compensation depends on factors such as experience, performance, and the firm’s size and location. Strong skills in mathematics, programming, and financial modeling are essential for success in this role.

What is a quantitative trading job description?

A quantitative trading job involves developing and implementing mathematical models and algorithms to identify trading opportunities in financial markets. Professionals in this role typically use programming languages like Python or C++, analyze large datasets, and work closely with traders and risk managers to optimize trading strategies. Strong analytical skills, knowledge of finance, and proficiency with statistical tools are essential for success in this field.

How do Quantitative Brokers typically collaborate with technology and trading teams to implement algorithmic strategies?

Quantitative Brokers work closely with both technology and trading teams to design, test, and deploy algorithmic trading strategies. They often translate complex financial models into executable code, requiring regular communication with software engineers to ensure models are accurately implemented and optimized for speed and reliability. Collaboration with traders is also essential to gather feedback on strategy performance and make real-time adjustments based on market conditions. This cross-functional teamwork ensures that strategies remain competitive and compliant with regulatory standards.

What is the highest paid type of broker?

In the trading industry, proprietary traders and investment bankers often earn the highest salaries among brokers, especially those working in high-frequency trading or managing large institutional accounts. These roles typically require advanced quantitative skills, risk management expertise, and often involve performance-based bonuses that can significantly increase total compensation.

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

To thrive as a Quantitative Broker, you need strong quantitative analysis skills, a solid background in finance or mathematics, and typically a relevant degree such as in mathematics, finance, or engineering. Proficiency with statistical software, programming languages like Python or R, and familiarity with trading platforms is often required. Excellent problem-solving abilities, communication skills, and attention to detail set standout professionals apart in this role. These skills are critical for developing, executing, and explaining complex trading strategies in fast-moving financial markets.

What do quantitative brokers do?

Quantitative brokers analyze financial data and develop mathematical models to facilitate trading strategies and optimize execution in financial markets. They use programming skills and statistical tools to assess market trends, manage risk, and improve trading performance. Their work often involves collaboration with traders and requires strong analytical and technical skills.
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Infographic showing various Quantitative Brokers job openings in the United States as of July 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.
Quantitative Analyst

Quantitative Analyst

Collabera LLC

Charlotte, NC • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Position Details:
Client: Banking
Job Title: Senior Quant Developer / Quantitative Modeler
Location: Hybrid role in Charlotte, NC 28202 (3 day onsite)
Schedule: Mon-Fri: Basic Business hours
Duration: 12 Months + Possible Extension
Start Date: ASAP - Apply Now !
Pay-range: 75-80/hr



Job Description:



  • This appears to be a Bank - Quantitative Analytics Specialist 4 (Contingent) opening focused on Counterparty Credit Risk (CCR) modeling, specifically cross-margin methodology development within Capital Markets.



Role Focus Area:



  • Counterparty Credit Risk modeling (not pricing models)

  • Cross-margin methodologies in prime brokerage/derivatives businesses

  • Quantitative model development and enhancement

  • Heavy Python development

  • Market risk modeling (VaR) without CCR exposure.

  • Pricing model development without margin methodology experience.

  • Pure Python development without quantitative finance.

  • Data science backgrounds lacking derivatives knowledge.



Skill Weighting (Very Important):



1.Cross-Margin Expertise 50%



  • Prime Brokerage margin methodologies

  • Cross-product margin offsets

  • Clearing/CCP margin concepts

  • Counterparty exposure management




  1. Mathematics & Quantitative Modeling 30%



  • Probability & Statistics

  • Stochastic Processes

  • Analytical formula derivation

  • Model validation and gap analysis




  1. Programming 20%



  • Python (expert)

  • SQL

  • AI coding tools (GitHub Copilot or similar)



Additional Details:



  • 5+ years in quantitative analytics

  • Counterparty Credit Risk experience

  • Prime Brokerage or Clearing experience

  • Cross-margin methodology knowledge

  • Advanced Python development skill

  • Strong mathematical background (Statistics, Stochastic Calculus, Financial Engineering)

  • Experience with exposure models (PFE/EPE/EAD)



Note: The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time , paid sick and safe time , hours of paid vacation time, weeks of paid parental leave, paid holidays annually - AS Applicable)

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