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Usa Quant Jobs (NOW HIRING)

Obra Capital

Credit Quant Developer

Manhattan, NY · On-site

Obra Capital is seeking a Credit Quant Developer with a strong focus on back-office and operational ... Founded in 2009, the company is headquartered in Austin, USA, with a team of 51-200 employees. The ...

Gunvor

Quantitative Risk Analyst

Houston, TX

Permanent Time Type: Full time Quantitative Risk Analyst, Gunvor USA Company Profile: Gunvor Group is one of the world's largest independent commodities trade houses by turnover, creating logistic ...

Gunvor

Quantitative Risk Analyst

Houston, TX · On-site

Permanent Time Type: Full time Quantitative Risk Analyst, Gunvor USA Company Profile: Gunvor Group is one of the world's largest independent commodities trade houses by turnover, creating logistic ...

1823 Partners

Jr Quantitative Developer

Manhattan, NY · On-site

They are seeking a highly motivated Jr Quantitative Developer to design and build applications that ... Founded in 2025, the company is headquartered in Miami, USA, with a team of 51-200 employees. The ...

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How much do usa quant jobs pay per year?

As of Jun 16, 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 pay 500,000 a year in the US?

A USA Quant, or quantitative analyst, can earn $500,000 or more annually, especially in senior roles at large financial firms or hedge funds. High compensation often includes bonuses and depends on experience, skills in programming, statistical analysis, and financial modeling, as well as working in high-pressure environments. Such roles typically require advanced degrees and a strong track record of performance.

What jobs in the US pay 300,000 a year?

In the US, roles such as quantitative analysts, investment bankers, senior software engineers, and specialized medical professionals can earn $300,000 or more annually. These positions typically require advanced skills, extensive experience, and often involve high-pressure environments or specialized certifications.

How much do quants make in the USA?

Quantitative analysts, or quants, in the USA typically earn between $100,000 and $200,000 annually, with experienced professionals and those in senior roles earning higher salaries. Compensation often includes bonuses and depends on factors such as education, skills, and the employer's size and industry.

What job makes $10,000 a month without a degree?

A quantitative analyst, or 'quant,' can potentially earn $10,000 or more per month through skills in mathematics, programming, and data analysis, often in finance or trading firms. Success in such roles typically requires strong technical expertise, experience, and sometimes certifications, but a formal degree is not always mandatory if skills are demonstrated effectively.
What cities are hiring for Usa Quant jobs? Cities with the most Usa Quant job openings:
What states have the most Usa Quant jobs? States with the most job openings for Usa Quant jobs include:
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Usa Quant jobs near you
Infographic showing various Usa Quant job openings in the United States as of June 2026, with employment types broken down into 12% As Needed, 64% Full Time, and 24% Temporary. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Senior Quant Developer

Futran Tech Solutions Pvt. Ltd.

Remote

Full-time

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

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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