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Jay Analytix

Quantitative Developer

New York, NY · Hybrid

New York, USA - Hybrid Employment Type: Contract About the Role We are seeking a Quantitative Developer with strong expertise in quantitative finance and advanced proficiency in Python. This role ...

Jay Analytix

Quantitative Developer

Jersey City, NJ · Hybrid

New Jersey, Jersey City, USA - Hybrid Employment Type: Contract About the Role We are seeking a Quantitative Developer with strong expertise in quantitative finance and advanced proficiency in Python.

Jay Analytix Inc

Quantitative Developer

New York, NY · On-site

New York, USA - Hybrid Employment Type: Contract About the Role We are seeking a Quantitative Developer with strong expertise in quantitative finance and advanced proficiency in Python. This role ...

Jay Analytix

Quantitative Developer

Jersey City, NJ · On-site

New Jersey, Jersey City, USA Hybrid Employment Type: Contract About the Role We are seeking a Quantitative Developer with strong expertise in quantitative finance and advanced proficiency in Python.

Jay Analytix

Quantitative Developer

New York, NY · On-site

New York, USA Hybrid Employment Type: Contract About the Role We are seeking a Quantitative Developer with strong expertise in quantitative finance and advanced proficiency in Python. This role ...

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How much do usa quant jobs pay per year?

As of Jul 8, 2026, the average yearly pay for usa quant 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 jobs make $1,000,000 a year?

In finance, roles such as hedge fund managers, private equity partners, and investment bankers can earn $1,000,000 or more annually through salaries, bonuses, and profit sharing. High-level executives in large corporations and successful entrepreneurs in various industries may also reach this income level, often requiring extensive experience, advanced skills, and significant responsibility.

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

In the US, highly paid roles such as quantitative analysts (quants), investment bankers, senior hedge fund managers, and certain specialized surgeons can earn $500,000 or more annually. These positions typically require advanced degrees, extensive experience, and strong skills in finance, mathematics, or medicine, often working in high-pressure environments with significant responsibilities.

Are quants still in demand?

Quantitative analysts, or quants, continue to be in demand in finance and investment firms due to their skills in data analysis, programming, and financial modeling. The role often requires proficiency in tools like Python, R, or SQL, and demand remains strong in areas such as risk management, algorithmic trading, and quantitative research.

How much do quants make in the US?

Quantitative analysts, or quants, in the US typically earn between $80,000 and $150,000 annually, with experienced professionals and those in senior roles earning over $200,000 including bonuses. Compensation varies based on experience, education, location, and the complexity of models used, often supplemented by performance-based incentives.
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Usa Quant jobs near you

Senior Quant Developer

Futran Tech Solutions Pvt. Ltd.

Remote

Full-time

Re-posted 25 days ago

Job description

Senior Quant Developer
Remote USA
Mandatory skills: Python OR C++, Monte Carlo simulation, quantitative background, derivatives pricing models and risk model back testing experience
Skills:
Minimum degree of Master or PhD in quantitative fields is required, with at least 3-5 years of relevant experience.
The candidate must have strong quantitative and analytical background with a solid theoretical foundation coupled with strong programming, documentation and communications skills.
Must have experience implementing complex market or credit risk quantitative modelling for OTC derivatives using programming languages (such as Python and C++) as well as mathematical/statistical software packages.
Knowledge of derivatives pricing models (Black Scholes, Hull White), Monte Carlo simulation, and risk model back testing experience is also a must.
Nice to have:
The candidate is preferred (a plus) to have experience in credit risk modelling and is familiar with credit risk concepts such as PFE (Potential Future Exposure), CSA, MPOR, collaterals IM and VM, and Monte Carlo simulation of long-time horizons.

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