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Vp Quantitative Modeling Jobs (NOW HIRING)

Develop, implement, and maintain high-performance trading algorithms and models for Crypto markets * Collaborate with traders and quantitative analysts to understand trading strategies and translate ...

VP, Quantitative Developer

New York, NY · On-site

$175K - $225K/yr

Develop, implement, and maintain high-performance trading algorithms and models for Crypto markets * Collaborate with traders and quantitative analysts to understand trading strategies and translate ...

Credit Quantitative Analyst

New York, NY · On-site

$175K - $250K/yr

We are seeking a highly skilled and experienced VP Quantitative Analyst to join our Spread Products ... Key Responsibilities Model Development & Implementation: * Design, develop, and implement ...

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Vp Quantitative Modeling information

See salary details

$43.5K

$157.5K

$277.5K

How much do vp quantitative modeling jobs pay per year?

As of Jun 5, 2026, the average yearly pay for vp quantitative modeling in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

How does a VP of Quantitative Modeling typically collaborate with other departments within a financial institution?

A VP of Quantitative Modeling often works closely with teams such as risk management, trading, IT, and senior management. They translate complex quantitative analyses into actionable insights for decision-makers, ensuring that models align with business objectives and regulatory requirements. Regular collaboration with IT is also common to implement models into production systems, while coordination with risk and trading desks helps fine-tune strategies and assess model performance. This cross-functional teamwork is essential for achieving robust, compliant, and business-driven modeling outcomes.

What is the difference between Vp Quantitative Modeling vs Quantitative Analyst?

AspectVp Quantitative ModelingQuantitative Analyst
Required CredentialsAdvanced degrees (Master's/PhD), strong programming skills, financial modeling experienceBachelor's or Master's, strong analytical and programming skills
Work EnvironmentStrategic, leadership-focused, overseeing teams and modelsHands-on analysis, model development, data analysis
Employer & Industry UsageFinancial institutions, hedge funds, asset managersInvestment banks, asset management firms, hedge funds

While both roles involve quantitative skills, Vp Quantitative Modeling typically involves strategic oversight and leadership in model development, whereas Quantitative Analysts focus on hands-on data analysis and model building. The VP role is more senior, with broader responsibilities and leadership expectations.

What does a VP of Quantitative Modeling do?

A VP of Quantitative Modeling leads teams that develop mathematical models used to assess risk, price financial products, and support business decisions in areas like banking, investment, and insurance. They oversee the creation and validation of complex models, ensure regulatory compliance, and communicate findings to senior management. Their role typically combines advanced analytics, project management, and strategic leadership to drive data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive as a VP Quantitative Modeling, and why are they important?

To thrive as a VP Quantitative Modeling, you need advanced quantitative and analytical skills, a strong background in mathematics, statistics, or financial engineering, and typically a master's or PhD in a related field. Expertise in programming languages such as Python, R, or C++, as well as experience with risk modeling systems and relevant industry certifications (e.g., CFA or FRM), is highly valued. Exceptional problem-solving abilities, leadership, and effective communication with both technical and non-technical stakeholders distinguish top performers. These skills ensure the development of robust financial models, drive informed decision-making, and support organizational objectives in complex financial environments.
What are the most commonly searched types of Quantitative Modeling jobs? The most popular types of Quantitative Modeling jobs are:
Infographic showing various Vp Quantitative Modeling job openings in the United States as of May 2026, with employment types broken down into 61% Full Time, and 39% Part Time. Highlights an 73% Physical, 5% Hybrid, and 22% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.
Asset Management- Quantitative Equities Research Analyst - Vice President

Asset Management- Quantitative Equities Research Analyst - Vice President

JP Morgan Chase

Manhattan, NY • On-site

Full-time

Medical, Retirement

Posted 23 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 468 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Quantitative Equity Researcher - Vice President New York

Job Description

We are a dynamic and innovative Quantitative Equity Research Team seeking a highly motivated Quantitative Equity Researcher to join us in our New York office. As a key player in the financial industry, we leverage data-driven insights to make informed investment decisions and drive our research strategies.

Job Summary

As a Vice President within the quant research team, you will play a pivotal role in shaping and executing the research agenda. You will independently initiate, scope, and deliver research that enhances the investment process, with a clear focus on empirical rigor and reproducibility. The ideal candidate combines deep expertise in quantitative modeling and portfolio construction with modern AI/ML capabilities - including large language models (LLMs) - to develop scalable research tooling and differentiated systematic insights.

Job Responsibilities:

  • Develop novel alpha signals from traditional and alternative datasets and enhance return-forecasting models for equity markets.
  • Apply advanced statistical, econometric, and machine learning techniques to large and complex datasets.
  • Leverage large language models and generative AI to develop quantitative signals and generate investment insights.
  • Design and implement robust research pipelines with proper validation methodology, disciplined feature selection, and rigorous model evaluation.
  • Build and maintain research frameworks for factor analysis, signal diagnostics, and regression-based studies.
  • Drive research and innovation in portfolio construction and risk management, including optimization.
  • Build and evaluate backtesting frameworks and performance attribution to ensure strategies meet investment objectives.
  • Collaborate closely with portfolio managers and stakeholders to translate research outcomes into actionable investment decisions, with clear communication of assumptions, limitations, and expected behavior across regimes.
  • Oversee the integration of research outputs into production systems in partnership with technology teams, emphasizing reliability, monitoring, and controlled change management.
  • Stay abreast of academic and industry developments in quantitative finance, AI/ML, and alternative data, and translate relevant advances into practical research priorities.

Required Qualifications and Capabilities:

  • 5+ years of experience in quantitative equity research or a related field, with demonstrated independent research delivery and project leadership.
  • Advanced degree (Masters or PhD) in financial engineering, data science, computer science, mathematics, statistics, or related quantitative discipline.
  • Proficiency in AI/ML fundamentals for financial applications, with practical experience across classical and modern modeling approaches.
  • Strong knowledge of large language model technologies and their practical application to research and financial analysis workflows.
  • Experience with NLP and working with alternative and unstructured data in a manner suitable for repeatable research and production deployment.
  • Deep expertise in quantitative modeling, portfolio construction, and equity markets.
  • Strong programming skills in Python, including the ability to build robust research infrastructure and reusable analytics; SQL proficiency for data extraction and manipulation is required.
  • Excellent verbal and written communication skills, with the ability to convey complex technical ideas to both technical and non-technical audiences, including senior stakeholders.
  • Proven ability to manage multiple research workstreams and deliver results in a fast-paced environment, with strong prioritization and disciplined documentation.
  • Demonstrated ability to collaborate effectively across investment, research, and technology teams.
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

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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