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Quantitative Portfolio Optimization Jobs (NOW HIRING)

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Quantitative Portfolio Optimization information

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$98K

$169.7K

$259.5K

How much do quantitative portfolio optimization jobs pay per year?

As of Jun 27, 2026, the average yearly pay for quantitative portfolio optimization 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 quantitative portfolio optimization?

Quantitative portfolio optimization is the process of using mathematical models and statistical techniques to construct investment portfolios that maximize expected returns for a given level of risk, or minimize risk for a given level of expected return. This approach relies on quantitative data analysis, such as historical prices, returns, and correlations between assets, to inform the portfolio construction process. Techniques like mean-variance optimization, factor models, and Monte Carlo simulations are commonly used. The goal is to systematically select asset weights that best align with an investor's financial objectives and risk tolerance.

What are the key skills and qualifications needed to thrive as a Quantitative Portfolio Optimization specialist, and why are they important?

To thrive in Quantitative Portfolio Optimization, you need strong quantitative analysis skills, advanced knowledge of statistics and finance, and typically a degree in mathematics, finance, or a related field. Expertise in programming languages like Python, R, or MATLAB, and familiarity with financial modeling tools and data analytics platforms are commonly required. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data and collaborating with stakeholders. These skills ensure the development of robust, data-driven investment strategies that maximize returns and minimize risk.

What are some common challenges faced by professionals in Quantitative Portfolio Optimization, and how can they be addressed?

Professionals in Quantitative Portfolio Optimization often encounter challenges such as managing large and complex datasets, adapting to rapidly changing market conditions, and balancing risk versus return in real time. Staying current with the latest financial models and programming techniques is essential, as is collaborating closely with portfolio managers and data scientists to ensure that optimization strategies align with investment goals. Building strong analytical and communication skills can help address these challenges and contribute to more effective decision-making within the team.

What is the difference between Quantitative Portfolio Optimization vs Quantitative Analyst?

AspectQuantitative Portfolio OptimizationQuantitative Analyst
Primary FocusDeveloping models to optimize investment portfolios for risk and returnAnalyzing data to support investment decisions and strategy
Skills & CertificationsMathematics, statistics, programming, finance certifications (CFA, FRM)Statistics, programming, finance knowledge, often CFA or similar
Work EnvironmentQuant teams within asset management or hedge fundsInvestment banks, asset managers, hedge funds
GoalsMaximize portfolio performance while managing riskProvide insights and analysis to inform investment strategies

While both roles require strong quantitative skills and finance knowledge, Quantitative Portfolio Optimization focuses specifically on creating models to optimize investment portfolios, whereas a Quantitative Analyst provides broader data analysis and insights to support investment decisions.

More about Quantitative Portfolio Optimization jobs
Infographic showing various Quantitative Portfolio Optimization job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Temporary. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.
Quantitative Portfolio Manager - Custom Indexing (L/S strategies)

Quantitative Portfolio Manager - Custom Indexing (L/S strategies)

Franklin Templeton

New York, NY • On-site

Full-time

Medical, Retirement, PTO

Posted 12 days ago


Franklin Templeton rating

9.8

Company rating: 9.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

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.
O'Shaughnessy Asset Management (OSAM) operates independently as a Specialist Investment Manager and is a research and money management firm based in Stamford. Our approach to managing money is transparent, logical, and completely disciplined, leading to long-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.
For more firm information, please visit www.osam.com
Summary:
CANVAS is a revolutionary custom indexing platform that enables financial advisors to create personalized, tax-efficient portfolios at scale. OSAM's investment team is hiring a Quantitative Portfolio Manager to join the team in either New York, NY, Stamford, CT, or other nearby location with the possibility of remote work. The Portfolio Manager will help expand OSAM's capabilities across systematic equity strategies, including long-only and long-short mandates. Come join our growing team and help shape the future of investing!
Role Overview:
The Portfolio Manager plays a central role in developing, implementing, and managing systematic long-only and long-short equity strategies within OSAM's quantitative framework. The role requires deep expertise in portfolio construction, alpha research, and risk management-paired with a curiosity-driven mindset and the ability to collaborate across research, trading, and technology functions.
As a Portfolio Manager, you will contribute to advancing OSAM's investment platform by designing robust, research-backed strategies that align with client objectives and the firm's culture of transparency, discipline, and intellectual rigor.
What are the Responsibilities of the Portfolio Manager?
Research & Alpha Development -
  • Develop and refine factor-based models targeting persistent sources of alpha.
  • Conduct empirical research into new signals, portfolio construction methods, and cross-sectional and time-series relationships.
  • Incorporate insights from behavioral finance, accounting changes, and market microstructure to improve alpha efficiency.
  • Collaborate with Research Analysts and Quant Developers to evaluate factor performance, turnover, and risk.

Portfolio Construction & Risk Management -
  • Design and manage long-only and long-short portfolios that balance alpha generation, liquidity, and risk constraints.
  • Utilize optimization frameworks to manage exposures, sector constraints, and factor diversification.
  • Monitor real-time risk exposures, attribution, and performance drivers across multiple investment universes.
  • Integrate and enhance risk models (statistical and fundamental) to support portfolio and firm-level oversight.
  • Implement systematic position sizing, short borrow management, and leverage controls consistent with mandate guidelines.
  • Partner with the Trading teams to ensure efficient execution of trades with minimal slippage and market impact.

Qualifications & Experience:
  • 5+ years of experience in quantitative portfolio management or research, with direct exposure to long-only, long-short equity and/or multi-factor strategies.
  • Advanced degree (Master's or Ph.D.) in Finance, Mathematics, Statistics, Computer Science, Engineering, or related field.
  • Strong programming skills (Python and SQL required; C# preferred) and familiarity with large data environments.
  • Deep understanding of portfolio optimization, risk models, and execution cost modeling.
  • Demonstrated ability to manage live portfolios and make data-driven investment decisions.
  • CFA designation preferred but not required.
  • Must be eligible to work in the U.S. without current or future sponsorship - unable to provide visa support

Compensation: Franklin Templeton offers employees a competitive and valuable range of total rewards-monetary and non-monetary - designed to support their well-being and recognize their time, talents, and results. Along with base compensation, employees are eligible for an annual discretionary bonus, a 401(k) plan with a generous match, and recognition rewards. We also offer a comprehensive benefits package, which includes a range of competitive healthcare options, insurance, and disability benefits, employee stock investment program, learning resources, career development programs, reimbursement for certain education expenses, paid time off (vacation / holidays / sick / leave / parental & caregiving leave / bereavement / volunteering / floating holidays) and a motivational wellbeing program. We expect the base salary for this position to range between $195,000 - $225,000, depending on level of relevant experience and geographic location, plus bonus.
#LI-US
#Director
#Hybrid
Experience our welcoming culture and reach your professional and personal potential!
Our culture is shaped by the variety of perspectives and experiences brought by talent from around the world. Regardless of your interests, lifestyle, or background, there's a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life.
By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. We understand that benefits are at the core of employee well-being and may vary depending on individual needs. Whether you need support for maintaining your physical and mental health, saving for life's adventures, taking care of your family members, or making a positive impact in your community, we aim to have them covered.
Learn more about the wide range of benefits we offer at Franklin Templeton
*Most benefits vary by location. Ask your recruiter about benefits in your country.
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.
If you believe that you need an accommodation or adjustment, due to a medical condition or disability, to search for or apply for one of our positions, please send an email to accommodations@franklintempleton.com. In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number of the position you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response.