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Quantitative Modeling information

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$93.2K

$161.5K

$246.9K

How much do quantitative modeling jobs pay per year?

As of Jul 30, 2026, the average yearly pay for quantitative modeling in Connecticut is $161,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,900.00 and $189,300.00 per year, depending on experience, location, and employer.

What is a quantitative modeler?

A quantitative modeler is a professional who develops mathematical and statistical models to analyze financial data, assess risk, and support decision-making in finance or related fields. They often use programming languages like Python or R and have strong skills in mathematics, statistics, and data analysis. These models help organizations optimize strategies and manage uncertainties effectively.

What jobs pay 500,000 a year in the US?

In quantitative modeling, senior roles such as quantitative analysts, quantitative traders, and hedge fund managers can earn $500,000 or more annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, strong programming skills, and experience in financial markets or risk management.

What are typical daily tasks and projects for someone in a Quantitative Modeling role?

In a Quantitative Modeling position, your daily activities usually include analyzing large datasets, building and validating predictive models, and developing algorithms to solve business or financial problems. You might spend time coding, running simulations, and interpreting model outputs to inform strategy or risk assessment. Collaboration is common—you'll often work with data scientists, business analysts, or subject matter experts to refine models and ensure they're aligned with organizational goals. The work is intellectually stimulating and fast-paced, with opportunities to see your analytical insights directly impact decision-making.

What job makes $1,000,000 a year?

In quantitative modeling, high-level roles such as senior quantitative analysts, hedge fund managers, or chief investment officers can earn $1,000,000 or more annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, strong analytical skills, and experience in finance, data analysis, or risk management.

What is the highest paid modeling job?

In quantitative modeling, senior roles such as Quantitative Research Director or Head of Quantitative Strategies tend to have the highest salaries, often exceeding $200,000 annually, especially in major financial centers. These positions require advanced skills in mathematics, programming, and financial theory, and may include bonuses and profit-sharing components.

What is a Quantitative Modeling job?

A Quantitative Modeling job involves using mathematical, statistical, and computational techniques to analyze data and construct models that help businesses make informed decisions. Professionals in this field work in finance, risk management, economics, and other industries to develop predictive models, optimize strategies, and assess uncertainties. They often use programming languages like Python, R, or MATLAB, along with machine learning and statistical methods, to solve complex problems.

What are the key skills and qualifications needed to thrive in the Quantitative Modeling position, and why are they important?

To excel in Quantitative Modeling, a strong foundation in mathematics, statistics, and data analysis is essential, often complemented by a degree in a quantitative field such as mathematics, finance, engineering, or physics. Proficiency in programming languages like Python, R, MATLAB, or statistical software, as well as familiarity with data visualization tools and financial modeling certifications (such as CFA or FRM), is highly valued. Effective quantitative modelers possess strong problem-solving abilities, attention to detail, and the ability to communicate complex findings clearly to both technical and non-technical stakeholders. These skills enable accurate, data-driven decision-making and the creation of robust predictive models in business, finance, or technology sectors.

What are popular job titles related to Quantitative Modeling jobs in Connecticut? For Quantitative Modeling jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Quantitative Modeling jobs in Connecticut look for? The top searched job categories for Quantitative Modeling jobs in Connecticut are:
Quantitative Modeling jobs near you
Infographic showing various Quantitative Modeling job openings in Connecticut as of July 2026, with employment types broken down into 68% Full Time, 12% Part Time, 1% Temporary, and 19% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $161,461 per year, or $77.6 per hour.

Quantitative Developer - 2452889

2Bridge Partners

Stamford, CT • Hybrid

$200K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

Job description

2Bridge has been engaged in the search for a direct-hire Quant Developer for an innovative FinTech company. The company has secured a significant Series A funding round and is expanding its team. It is looking for a Senior Quant Developer to enhance its technological capabilities as it scales.


Role Summary:

You'll play a crucial role in developing quantitative models and algorithms vital for the company’s financial products and services.


Compensation and Benefits: Our client offers Total Compensation between 250,000 and 350,000, split between a base and performance-based bonus. For the right person, there is potential for equity. They also offer a comprehensive benefits package including Medical, Dental, Vision, 401k, 24 days PTO, and all NYSE Holidays, Etc. This is as hybrid role, onsite, one day a week, in one of their offices in either NYC or Stamford.


Responsibilities:

  • Develop and enhance quantitative models and algorithms for performance and scalability.
  • Collaborate with teams to integrate quantitative solutions into broader system architectures.
  • Validate models for correctness and edge-cases.
  • Maintain market data handlers, data models, and valuation cache.
  • Stay updated with industry trends and incorporate advanced quantitative techniques as applicable.


Qualifications:

  • Bachelor’s or preferably an MS in Quantitative Finance, Computer Science, Mathematics, or a related field.
  • 3-5 years experience in Quantitative Development within financial services, specifically with Trade Cost Analysis in Fixed Income, Corporate Bonds, non-vanilla swaps, and other OTC Derivatives.
  • 5 years experience in Java or C#, .Net, Bonus points for expertise in Python.
  • Extensive experience with Analytics Libraries such as QuantLib, FinCad, Numerix, etc.
  • Experience with time series databases like OneTick, KDB, InfluxDB.
  • Experience with machine learning algorithms and their applications in financial modeling.