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Quantitative Analysis Jobs (NOW HIRING)

Quantitative Analyst

Boston, MA ยท On-site

$100K - $200K/yr

The team's work includes risk modeling, portfolio construction analysis, the creation of smart beta ... The Role The Quantitative Taxable team within Quantitative Research group is responsible for ...

We are seeking experienced Data Scientists and Quantitative Analysts to bring real-world analytical rigor to AI evaluation by designing sophisticated benchmark tasks based on practical data science ...

The team's work includes risk modeling, portfolio construction analysis, the creation of smart beta ... The Role The Quantitative Taxable team within Quantitative Research group is responsible for ...

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Quantitative Analysis information

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$56.5K

$133.9K

$240K

How much do quantitative analysis jobs pay per year?

As of Aug 17, 2026, the average yearly pay for quantitative analysis in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What is quantitative analysis?

Quantitative analysis is the use of mathematical and statistical methods to evaluate financial and business data. Professionals in this field analyze numerical data to identify trends, make forecasts, and support decision-making in areas such as finance, investment, and risk management. Quantitative analysts, often called 'quants,' use complex models and algorithms to solve problems and optimize strategies for organizations. Their work is critical in industries like banking, asset management, and insurance, where data-driven insights are essential.

What are the key skills and qualifications needed to thrive as a quantitative analyst?

To thrive as a Quantitative Analyst, you need strong mathematical, statistical, and analytical skills, typically supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with programming languages such as Python, R, or MATLAB, and familiarity with financial modeling software and data analysis tools are commonly required. Exceptional problem-solving abilities, attention to detail, and strong communication skills help set top performers apart. These skills are essential for developing robust models, accurately analyzing complex data, and effectively conveying insights to support data-driven decision making.

What are some common challenges faced by professionals in quantitative analysis roles?

Quantitative Analysts often encounter challenges such as managing large and complex datasets, ensuring the accuracy and integrity of models, and adapting to rapidly changing market conditions. Collaboration with software engineers and traders is essential, as models must be both mathematically robust and practically implementable. Staying current with advancements in statistical methods and programming languages is also important, as the field evolves quickly and requires continuous learning.

Is quantitative analysis a good job?

Quantitative analysis is a well-regarded career that involves using mathematical and statistical methods to evaluate financial and business data. It often requires strong analytical skills, proficiency with tools like Excel and programming languages such as Python or R, and typically offers competitive salaries and opportunities for advancement. The job can be demanding but is valued in finance, investment, and data-driven industries.

What does a quantitative analysis do?

A quantitative analyst, or quant, uses mathematical models and statistical techniques to analyze financial data, identify trends, and support investment decisions. They often work with programming tools like Python or R and require strong analytical skills to interpret large datasets and develop predictive models.

What jobs use quantitative analysis?

Quantitative analysis is used in a variety of jobs including financial analysts, data scientists, risk managers, investment analysts, and operations researchers. These roles typically require strong skills in mathematics, statistics, and data modeling, often utilizing tools like Excel, R, or Python to analyze large datasets and inform decision-making.
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Cities with the most Quantitative Analysis job openings:

What are the most commonly searched types of Quantitative Analysis jobs?

The most popular types of Quantitative Analysis jobs are:

Infographic showing various Quantitative Analysis job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

VP Risk & Quantitative Analysis

Franklin Templeton Investments

Stamford, CT โ€ข On-site

$147 - $160/hr

Other

Medical, Retirement

Posted 6 days ago


Job description

Oโ€™Shaughnessy Asset Management (OSAM) is part of Franklin Templeton, a forward-thinking asset manager that has built its success through powerful partnerships. We leverage cutting-edge strategies and deep insights to unlock opportunities for long-term wealth creation. Our talented, global teams bring expertise that is both broad and unique. Oโ€™Shaughnessy Asset Management is a research and money management firm based in Stamford, Connecticut operating autonomously and backed with global, enterprise resources. Their approach to managing money is transparent, logical, and completely disciplined, leading to longโ€‘standing relationships with clients. OSAM is a leading provider of Custom Indexing services via its Canvasยฎ platform which offers financial advisors an unprecedented level of control and ease in creating and managing personalized separately managed accounts (SMAs) that target improved afterโ€‘tax outcomes. For more firm information, please visit www.osam.com

ABOUT THE DEPARTMENT

O'Shaughnessy Asset Management (OSAM) is owned by Franklin Templeton, a dynamic firm that spans asset management, wealth management, and fintech, giving us many ways to help investors make progress toward their goals. With clients in over 150 countries and offices on six continents, you'll get exposed to different cultures, people, and business development happening around the world. OSAM is a research and money management firm based in Stamford. Our approach to managing money is transparent, logical, and completely disciplined, leading to longโ€‘standing relationships with our clients. We are a leading provider of Custom Indexing services via Canvas. Canvas is a platform offering financial advisors an unprecedented level of control and ease in creating and managing client portfolios in separately managed accounts (SMAs). Advisors can set up custom investment templates, access factor investing strategies, utilize passive strategies, actively manage taxes, and apply ESG investing and SRI screens according to the specific needs, preferences, and objectives of individual clients.

ROLE SUMMARY

Canvas is seeking a VP Risk & Quantitative Analysis to join the Investment Risk & Quantitative Analysis team within the broader Risk organization. The Risk team is responsible for identifying, assessing, and mitigating business, operational, and investment risks across the firm. Anchored in the firm's philosophy of Learn, Build, Share, Repeat, the team continuously evolves its frameworks and processes to enhance risk visibility and support informed decision-making. This role is focused on advancing the firm's quantitative capabilities across portfolio construction, optimization validation, and taxโ€‘aware investing. This role sits at the intersection of portfolio construction, risk analytics, and quantitative research. The position offers significant exposure to largeโ€‘scale portfolio implementation across thousands of accounts, with a focus on improving tracking accuracy, tax efficiency, and overall portfolio outcomes. This is a highly visible opportunity to directly influence the evolution of Canvas's quantitative investment platform.

HOW YOU WILL ADD VALUE
  • Enhance model transparency and robustness by independently validating optimization outputs, improving tax-alpha methodologies, and developing advanced risk and analytics frameworks
  • Partner closely with Portfolio Management, Research teams to evaluate model performance, diagnose portfolio outcomes, and enhance the firm's optimization and taxโ€‘aware investment processes
  • Create portfolio optimization(s) to independently validate optimization outputs, with a focus on identifying and analyzing discrepancies in tracking error and taxโ€‘loss harvesting results compared to our core portfolio optimizers at the account level
  • Evaluate and improve the firm's Tax Alpha model, assessing the effectiveness of taxโ€‘loss harvesting strategies and analyzing dispersion across portfolios and accounts
  • Design and implement advanced risk and performance diagnostics to better understand portfolio outcomes, including tracking error, factor exposures, and tax impacts
  • Lead the development of integrated risk checks leveraging Aladdin and/or Barra, and direct indexing data to analyze dispersion, identify underlying drivers, and provide actionable insights
  • Partner with Portfolio Management and Research teams to share findings and iterate framework and models based on feedback
  • Analyze portfolio performance drivers, including return, volatility, and tax impacts
  • Develop and maintain scalable analytics and tooling using Python (or C#), SQL, and other technologies to support ongoing research and monitoring
  • Contribute to the evolution of quantitative investment processes, including optimization techniques, taxโ€‘aware strategies, and portfolio construction frameworks
WHAT WILL HELP YOU BE SUCCESSFUL IN THIS ROLE
  • EXPERIENCE 5+ years of experience in quantitative research, portfolio construction, or a related investment role within investment management Strong background in portfolio optimization, factor models, and direct indexing strategies Strong technical and analytical expertise, with experience in portfolio optimization, direct indexing, and quantitative investment strategies Experience evaluating or building taxโ€‘aware investment strategies, including taxโ€‘loss harvesting methodologies Proficiency in programming and data analysis, including Python (and/or C#) and SQL Familiarity with industry risk and analytics platforms such as Barra and Aladdin Strong quantitative and problemโ€‘solving skills, with the ability to translate complex analyses into actionable insights Experience working with largeโ€‘scale portfolio datasets and accountโ€‘level analysis
  • SOFT SKILLS Strong communication skills, with the ability to partner effectively across investment, research, and risk teams Ability to work independently in a fastโ€‘paced, collaborative environment and manage multiple priorities
  • WORK SCHEDULE & LOCATION This is a hybrid role that can be based out of Stamford, CT or NYC whereby the employee will work out of the office 3 days per week. *Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.*

Franklin Templeton offers employees a competitive and valuable range of total rewards, monetary and nonโ€‘monetary, designed to support the whole person and to recognize their time, talents, and results. Along with base compensation, other compensation is offered such as a discretionary bonus, 401k plan, health insurance, and other perks. There are several factors taken into consideration in making compensation decisions including but not limited to location, jobโ€‘related knowledge, skills, and experience. At Franklin Templeton, we apply a total reward philosophy where all aspects of compensation and benefits are taken into consideration in determining compensation.

We expect the salary for this position to range between $147,000 - $160,000 per year depending on location plus bonus opportunity.

#LI-Hybrid

Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.

When you become part of Franklin Templeton, youโ€™ll join a company dedicated to progress. A company that doesnโ€™t settle. One where we pursue our ambitions with energy and persistence. Thatโ€™s why itโ€™s so important that we empower and encourage the progress of our employees. From our welcoming, inclusive, and flexible culture โ€“ to our global and diverse business, we provide opportunities to help you reach your potential while contributing to ours. At Franklin Templeton, we embrace individual differences and value experience and perspectives brought by talent from around the world. And, although we are all different, we all have one thing in common โ€“ we are dedicated to what we do. So whether youโ€™re just starting your career journey, are well on your way, or are seeking a new direction, youโ€™'ll find the support you need to grow your career with us. Come, join us, and help us shape the future of the global asset management industry!

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