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Full Time Quant Finance Jobs (NOW HIRING)

WallStreetQuants

Entry-Level Quantitative Developer

... full-time. In this role, you will build dependable research platforms, market-data systems, and ... prior quant or finance experience is required. - Open to applicants from any degree discipline ...

Invesco

Quant Researcher, Trading

Atlanta, GA · Hybrid

$120K - $160K/yr

Candidates should demonstrate good knowledge of broad quantitative finance concepts and ... Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco ...

Invesco

Quant Researcher, Trading

New York, NY · Hybrid

$120K - $160K/yr

Candidates should demonstrate good knowledge of broad quantitative finance concepts and ... Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco ...

Invesco

Quant Researcher, Trading

New York, NY · On-site

$120K - $160K/yr

Candidates should demonstrate good knowledge of broad quantitative finance concepts and ... Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco ...

Citigroup, Inc.

Rates XVA Quant

New York, NY · On-site

$150K - $175K/yr

Solid foundation in probability, statistics, and financial mathematics * Understanding of ... Quantitative Analysis Time Type: Full time Primary Location: New York New York United States ...

Jefferies

SVP, Equity Derivatives Risk Quant

Manhattan, NY · On-site

$200K - $250K/yr

Collaborate with Market Risk, Credit Risk, SIMM, and Quantitative Risk Development teams to ensure ... Financial Group is proud to offer a comprehensive benefits package to eligible, full-time employees ...

PNC Bank

Quant Analyst/Model Analyst

Tysons Corner, VA · On-site

$90K - $150K/yr

Preferred Skills Analytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model ... Depending on your eligibility, options for full-time employees include: medical/prescription drug ...

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All JobsQuant Finance JobsFull Time Quant Finance Jobs

Full Time Quant Finance information

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$98K

$169.7K

$259.5K

How much do full time quant finance jobs pay per year?

As of Jul 24, 2026, the average yearly pay for full time quant finance 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 is the difference between Full Time Quant Finance vs Quant Analyst?

AspectFull Time Quant FinanceQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often advanced degreesSimilar educational background; certifications like CFA or CQF are common
Work EnvironmentFinancial firms, hedge funds, investment banksFinancial institutions, asset management firms, hedge funds
Job FocusDeveloping quantitative models, algorithmic trading, risk managementAnalyzing data, developing models, supporting trading strategies

Full Time Quant Finance roles typically involve developing complex financial models and algorithms within investment firms, requiring strong quantitative skills and advanced degrees. Quant Analysts focus on analyzing data and supporting trading strategies, often with similar educational backgrounds. Both roles are integral to quantitative finance but differ slightly in scope and responsibilities.

What are some common challenges faced by professionals in full-time quant finance roles, and how can new hires prepare for them?

Professionals in full-time quant finance often face the challenge of working with large, complex datasets and rapidly changing market conditions. Adapting to fast-paced environments, ensuring the accuracy of their models, and staying current with the latest quantitative techniques are common hurdles. New hires can prepare by honing their programming skills (especially in Python, R, or C++), developing a strong understanding of financial markets, and practicing effective communication to collaborate with both technical and non-technical colleagues. Regularly reading industry publications and participating in team knowledge-sharing sessions can also help in staying updated and connected.

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

In finance, roles such as quantitative analysts, portfolio managers, and senior traders often earn $300,000 or more annually, especially with experience, performance bonuses, and advanced degrees like a CFA or MBA. These positions typically require strong analytical skills, programming knowledge, and a deep understanding of financial markets. Compensation varies based on firm size, location, and individual performance.

What jobs make $1,000,000 a year?

In finance, roles such as hedge fund managers, private equity partners, and senior investment bankers can earn $1,000,000 or more annually through base salary, bonuses, and profit sharing. These positions typically require extensive experience, advanced degrees, strong analytical skills, and a high level of performance in competitive environments.

What is a Full Time Quant Finance job?

A Full Time Quant Finance job involves applying mathematical, statistical, and programming skills to analyze financial markets, develop trading strategies, manage risk, and optimize investment portfolios. Quantitative finance professionals, also known as 'quants', typically work for investment banks, hedge funds, asset management firms, or financial technology companies. Their work often includes building financial models, performing data analysis, and implementing algorithms to make data-driven financial decisions. This role usually requires strong quantitative skills, proficiency in programming languages like Python or C++, and a background in mathematics, statistics, finance, or related fields.

Can quant traders make 7 figures?

Quant traders in full-time finance roles can potentially earn seven-figure incomes through a combination of base salary, bonuses, and profit sharing, especially if they develop successful trading algorithms and have strong risk management skills. However, such earnings are typically reserved for top performers at large firms or hedge funds and depend on market conditions, experience, and performance. Achieving this level of income is rare and often requires advanced quantitative skills, programming expertise, and significant experience.

Is 40 too old to become a quant?

Full Time Quant Finance roles typically require strong quantitative skills, programming knowledge, and relevant experience. Age is generally not a barrier if you have the necessary skills, a solid educational background, and can demonstrate proficiency in areas like mathematics, statistics, and coding languages such as Python or C++. Many professionals transition into quant roles later in their careers based on their expertise and continuous learning efforts.

What are the key skills and qualifications needed to thrive as a Full Time Quant Finance professional, and why are they important?

To excel in Quant Finance, a strong background in mathematics, statistics, programming, and finance—often supported by advanced degrees such as a master's or PhD—is essential. Familiarity with programming languages like Python, C++, and R, as well as experience with financial modeling platforms and data analysis tools, is commonly required. Exceptional analytical thinking, attention to detail, and effective communication skills help professionals interpret complex data and collaborate across teams. These competencies ensure accurate financial modeling, innovative problem-solving, and strategic decision-making in high-stakes, data-driven environments.

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

In finance, roles such as senior quantitative analysts, hedge fund managers, and chief investment officers often have the potential to earn $500,000 or more annually, especially with experience, performance bonuses, and managing large portfolios. These positions typically require advanced degrees, strong quantitative skills, and extensive industry experience. Compensation varies based on firm size, location, and individual performance.
What cities are hiring for Full Time Quant Finance jobs? Cities with the most Full Time Quant Finance job openings:
What are the most commonly searched types of Quant Finance jobs? The most popular types of Quant Finance jobs are:
What states have the most Full Time Quant Finance jobs? States with the most job openings for Full Time Quant Finance jobs include:
Full Time Quant Finance jobs near you
Infographic showing various Full Time Quant Finance job openings in the United States as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Entry-Level Quantitative Developer

WallStreetQuants

Remote

Full-time

Posted 9 days ago

Job description

About the Role
A San Francisco-based proprietary trading firm expanding its quantitative team through a US-remote role is seeking a highly motivated Entry-Level Quantitative Developer to join the team full-time. In this role, you will build dependable research platforms, market-data systems, and trading technology as part of the firm's quantitative engineering team.
This is an ideal opportunity for early-career candidates who are passionate about software engineering, performance, market data, distributed systems, and quantitative finance. The work combines quantitative development, Python and C++ engineering, market data, low-latency systems, and algorithmic trading infrastructure. You will work closely with experienced traders, quantitative researchers, and engineers to learn how modern strategies, models, and trading systems are designed, tested, and implemented.
The team is small, technical, and collaborative, with direct access to experienced traders, quantitative researchers, engineers, high-quality market data, and modern research infrastructure.
This remote role is open to candidates based across the United States
Requirements
Responsibilities
- Build software for quantitative research, market data, simulation, and trading workflows.
- Improve system reliability, performance, testing, and operational visibility.
- Partner with researchers and traders to turn ideas into dependable tools.
- Develop reliable software used in quantitative research, trading, simulation, and market-data workflows.
- Design and maintain high-throughput data pipelines, APIs, and services for time-sensitive financial systems.
- Profile latency, memory use, reliability, and performance across critical research and trading applications.
- Write tests, participate in code reviews, and improve engineering standards across the codebase.
- Troubleshoot production issues and build monitoring that makes failures easier to detect and diagnose.
- Collaborate closely with traders and researchers to translate quantitative ideas into dependable tools.
Qualifications
- Early-career applicant from any degree discipline with practical software engineering ability.
- Transferable programming experience from a technology company, startup, research group, personal projects, or another setting.
- Interest in moving into quantitative development; no prior quant or finance experience is required.
- Open to applicants from any degree discipline, including people moving from technology, consulting, science, operations, or another career.
- Transferable professional, project, or self-directed experience that demonstrates analytical judgment and learning ability.
- Strong computer science fundamentals, including data structures, algorithms, testing, and systems design.
- Proficiency in Python, C++, Java, Rust, Go, or another production programming language.
- Ability to reason about performance, reliability, concurrency, and operational tradeoffs.
- Experience building substantial software through coursework, internships, open-source work, or personal projects.
- Interest in financial markets is useful, but prior finance experience is not required.
- Applicants from every degree discipline are welcome.
- No prior quantitative finance, trading, or investment-industry experience is required.
- Strong attention to detail, intellectual curiosity, and a commitment to continuous improvement.
- Excellent communication and teamwork skills.
Ideal Candidate
The ideal candidate is a pragmatic builder who cares about correctness, performance, and maintainability. You enjoy understanding how systems behave under real load, collaborating with demanding technical users, and taking ownership from initial design through testing and production support.
Benefits
What We Offer
- Hands-on development across quantitative systems, market data, research platforms, performance engineering, and production reliability.
- Mentorship from experienced quantitative traders, researchers, engineers, and technologists.
- Exposure to live markets, real financial datasets, and the full path from idea to implementation.
- A collaborative, high-performance environment that values curiosity, discipline, and continuous learning.
- Opportunities for rapid growth based on performance, ownership, and measurable impact.
- Competitive compensation and a benefits package aligned with the employer and location.

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