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How much do quantitative portfolio jobs pay per year?

As of Sep 12, 2026, the average yearly pay for quantitative portfolio 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 a quantitative portfolio manager?

A Quantitative Portfolio Manager is a finance professional who uses mathematical models, statistical techniques, and computer algorithms to manage investment portfolios. Their main goal is to maximize returns and minimize risks by analyzing large sets of data and developing systematic trading strategies. They often work with equities, fixed income, derivatives, or other financial instruments, and typically use automated trading systems to execute their strategies. Quantitative Portfolio Managers combine finance, mathematics, and programming skills to make data-driven investment decisions.

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

To thrive as a Quantitative Portfolio Manager, you need a strong background in mathematics, statistics, financial theory, and programming, often supported by advanced degrees such as a master's or Ph.D. and certifications like CFA or FRM. Expertise with data analytics tools, programming languages such as Python or R, and portfolio management systems is typically required. Exceptional problem-solving, analytical thinking, and effective communication skills help you interpret complex data and convey insights to stakeholders. These skills and qualities are crucial for developing robust investment strategies, managing risk, and achieving consistent portfolio performance in dynamic financial markets.

What are some common challenges faced by professionals in a quantitative portfolio role, and how can they be addressed?

Professionals in Quantitative Portfolio roles often face challenges such as adapting to rapidly changing market conditions, managing large volumes of data, and ensuring the robustness of their models. Effective communication with stakeholders, like portfolio managers and risk teams, is also essential since the role requires translating complex quantitative insights into actionable investment strategies. Staying updated on the latest quantitative methods and regularly validating models helps mitigate risks and maintain performance, while collaboration fosters innovation and more robust decision-making.

What is the difference between Quantitative Portfolio vs Quantitative Analyst?

AspectQuantitative PortfolioQuantitative Analyst
Primary FocusManaging investment portfolios using quantitative modelsDeveloping and implementing quantitative models for various financial analyses
Work EnvironmentAsset management firms, hedge funds, investment banksFinancial institutions, asset management firms, consulting
CredentialsAdvanced degrees in finance, mathematics, or related fields; certifications like CFASimilar credentials; often CFA or quantitative-focused degrees

While both roles require strong quantitative skills and similar credentials, Quantitative Portfolios focus on managing entire investment strategies, whereas Quantitative Analysts develop models that support investment decisions. The portfolio role is more strategic and management-oriented, while the analyst role is more technical and analytical.

More about Quantitative Portfolio jobs

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

The most popular types of Quantitative Portfolio jobs are:

What are popular job titles for Quantitative Portfolio?

Popular job titles for Quantitative Portfolio:

Quantitative Portfolio jobs near you
Infographic showing various Quantitative Portfolio job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Wealth Management, Quantitative Portfolio Manager, Equities CIO

Manhattan, NY • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees
Learn more about JPMorgan Chase & Co.external

$220K - $350K/yr

Full-time

Medical, Retirement

Re-posted 18 hours ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

Job description


As a Quantitative Portfolio Manager (Executive Director) within Wealth Management's Chief Investment Office (CIO) - Equities team, you will be a senior leader in a growing, innovative Equity Portfolio Management organization, reporting to the Head of Equities. You will set the quantitative research agenda, own core portfolio analytics and risk frameworks, and drive implementation of systematic, factor-based and data-driven insights for an $80bn equity portfolio benchmarked against MSCI World.
This role requires deep expertise in equity factor research, portfolio construction, and risk management-combined with the credibility to influence other senior portfolio managers and fundamental analysts. You will translate complex quantitative work into investment decisions, elevate the team's analytical capabilities, and serve as a thought partner to CIO leadership on process, tooling, governance, and portfolio outcomes.
Responsibilities
  • Quantitative leadership & investment partnership
    • Act as the senior quantitative partner to the equity team, influencing security selection overlays, factor tilts, risk budgeting, and implementation choices across regional and global mandates.
    • Lead the integration of quantitative signals with fundamental views, ensuring a repeatable, well-governed investment process.
  • Risk model ownership & portfolio risk governance
    • Own the application and interpretation of multi-factor risk models (e.g., Axioma and/or equivalent) to monitor exposures, crowding, concentration, liquidity considerations, and scenario sensitivities.
    • Establish escalation frameworks and decision support for material risks; contribute to portfolio review cadence and senior risk discussions.
  • Portfolio construction, optimization & attribution
    • Design and improve portfolio construction frameworks including constraints, turnover control, transaction cost awareness, and rebalancing discipline.
    • Lead performance attribution and factor decomposition to diagnose drivers of returns, active risk, and drawdowns; turn findings into actionable portfolio recommendations.
  • Data, engineering & advanced analytics
    • Drive development of scalable research and analytics tooling (Python-first), including data pipelines, reusable libraries, and standardized reporting for PM workflows.
    • Evaluate and apply machine learning/AI techniques where appropriate (feature engineering, ensemble methods, NLP for alternative data), with emphasis on interpretability and investment relevance.
  • Stakeholder management & communication
    • Communicate complex quantitative concepts clearly to senior investment professionals; deliver crisp trade-offs and recommendations rather than "model outputs."
    • Partner with technology, data, risk, compliance, and control stakeholders to ensure model governance and appropriate use.
  • Controls & compliance
    • Maintain a consistent focus on risk management, model governance, suitability, and adherence to applicable policies and controls.

Required Responsibilities, Capabilities and Skills:
  • 12+ years of experience in quantitative investing, equity research, portfolio construction, or risk analytics (buy-side preferred), with demonstrated impact on portfolio outcomes (alpha, risk-adjusted returns, drawdown control, implementation efficiency).
  • Deep understanding of equity markets, factor investing, risk modeling, and portfolio construction under real-world constraints (turnover, costs, liquidity, client guidelines).
  • Proven experience owning or heavily influencing risk model usage (Axioma or similar), exposure management, scenario analysis, and attribution.
  • Advanced programming capability in Python, including strong applied experience with data analysis libraries (Pandas, NumPy, SciPy, stats/ML stack) and production-quality research practices (version control, testing, code review).
  • Solid grounding in statistics/econometrics and familiarity with ML techniques appropriate for investment contexts (regularization, tree-based methods, cross-validation, time-series pitfalls).
  • Bachelor's degree required;

Preferred Responsibilities, Capabilities and Skills:
  • Master's/PhD in a quantitative discipline (Math, CS, Engineering, Statistics, Financial Engineering, etc.) strongly preferred.
  • CFA progress or designation is a plus (not required), particularly where it strengthens investment judgement and communication with fundamental stakeholders.

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

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