2

Full Time Quant Finance Jobs (NOW HIRING)

AM Quantitative Analyst I

Boston, MA · On-site

$135K - $175K/yr

Defines and communicates financial facts and filters relevance using econometric modeling tools ... full-time onsite working model through a phased rollout across regions and roles. Currently, some ...

... Financial Engineering, or similar * 1-3 years of research or industry experience in quantitative ... Base salary represents just one part of overall compensation; all full-time, permanent roles are ...

Showing results 41-60

Full Time Quant Finance information

See salary details

$98K

$169.7K

$259.5K

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

As of Aug 16, 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 is a full time quant finance?

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.

What are the key skills and qualifications needed to thrive as a full time quant finance professional?

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 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:

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.

$64K - $91K/yr

Full-time

Posted 9 days ago


Job description

Quantitative Analyst: Short Description for Internal Candidates
As a Quantitative Analyst, you'll operate at the intersection of sports trading, mathematics, and data science. Your primary focus will be on analyzing sport & betting data, developing predictive models, and assisting with trading decisions. You'll collaborate with senior quants, traders, engineers and product managers to continuously improve pricing efficiency and expand the range of betting odds generated by our proprietary trading platform and continuously improve our risk models & management strategy. You will apply mathematical and statistical techniques to solve complex problems. It is an exciting opportunity for professional development in a dynamic and fast-paced environment. This is a hybrid role, requiring 2-5 days per week in our Denver office.
Description for Internal Candidates
As a Quantitative Analyst, you'll operate at the intersection of sports trading, mathematics, and data science. Your primary focus will be on analyzing sport & betting data, developing predictive models, and assisting with trading decisions. You'll collaborate with senior quants, traders, engineers and product managers to continuously improve pricing efficiency and expand the range of betting odds generated by our proprietary trading platform and continuously improve our risk models & management strategy. You will apply mathematical and statistical techniques to solve complex problems. It is an exciting opportunity for professional development in a dynamic and fast-paced environment.
This is a hybrid role, requiring 2-5 days per week in our Denver office. No Visa sponsorship available.
 Responsibilities
As a Quantitative Analyst, your responsibilities will include
  • Model Development 
    • Assist in the development, implementation, training and testing of mathematical models for pricing & managing the risk of sport betting events.
  • Data Sourcing & Analysis 
    • Collect and clean sports-related data,
    • Analyze large datasets of play by play (simulated or historical) and betting data to identify patterns, trends, and correlations that can inform trading strategies.
  • Programming 
    • Use programming languages such as C# or Python to develop quantitative models, code and automate analytical processes, and perform data analysis tasks.
  • Collaboration 
    • Collaborate with senior quantitative analysts, traders & product managers to understand business requirements, implement solutions, and communicate findings effectively
    • Document and maintain clear and concise documentation of quantitative models, methodologies and analysis procedures for internal reference
  • Continuous Learning 
    • Stay abreast of developments in quantitative analysis & betting markets, and related fields through self-study & training
Qualifications
  • Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Finance, Economics, or a related quantitative field.
  • Outstanding mathematical, statistical and analytical skills.
  • Excellent work ethic and good team skills
  • Detail-oriented mindset with a commitment to producing high-quality work and adhering to best practices in quantitative analysis and research.
  • Strong understanding of more advanced machine learning techniques is a plus
  • Proficiency in at least one programming languages such as Python, C#, R, or C++ is a plus
Experience
  • While junior roles often don't require extensive experience, any exposure to financial markets, data analysis, or quantitative research is beneficial.
  • Internships or coursework related to quantitative finance or numerical modeling are a plus.
Salary range is listed in USD; ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. *Salary Range: $64,600 to $91,800 (Salary range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual Offer is confirmed). In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/

Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE-a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.

For information about our benefits, please visit https://benefitsatfanatics.com/