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Executive Quant Jobs (NOW HIRING)

TriOptus LLC

UX Researcher- Quant

Jersey City, NJ · On-site

Quantitative UX Researcher (T&M Contractor) Contract: 12 months on W2 Location: NY and Jersey City ... executive leadership (e.g., Director level and above). • Experience building data dashboards

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Executive Quant information

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$26.5K

$93.6K

$184K

How much do executive quant jobs pay per year?

As of Jun 18, 2026, the average yearly pay for executive quant in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What are Executive Quants?

Executive Quants are highly skilled professionals who apply advanced quantitative and analytical techniques to inform high-level business and financial decisions within an organization. They leverage their expertise in mathematics, statistics, and computer science to develop models, assess risks, and guide executive strategy, often in investment banks, hedge funds, or financial institutions. Unlike traditional quants who primarily build and test models, Executive Quants typically have leadership responsibilities, manage quant teams, and communicate complex findings to non-technical stakeholders to drive organizational growth.

What are the key skills and qualifications needed to thrive as an Executive Quant, and why are they important?

To thrive as an Executive Quant, you need advanced quantitative analysis skills, a strong background in mathematics, statistics, or finance, and typically a graduate degree such as a PhD or Master's in a related field. Expertise with programming languages like Python, R, or C++, as well as familiarity with financial modeling platforms and statistical software, is crucial. Exceptional problem-solving abilities, leadership, and effective communication are important soft skills for guiding teams and presenting complex ideas to stakeholders. These skills ensure accurate financial modeling, strategic decision-making, and the ability to lead high-impact quantitative initiatives in a competitive financial environment.

What is the difference between Executive Quant vs Quantitative Analyst?

AspectExecutive QuantQuantitative Analyst
Required CredentialsAdvanced degrees (PhD, Master's), strong programming and statistical skillsBachelor's or Master's in finance, mathematics, or related fields; programming skills beneficial
Work EnvironmentStrategic roles, often involved in high-level decision making, collaboration with senior managementAnalytical tasks, model development, data analysis within finance teams
Employer & Industry UsageFinancial institutions, hedge funds, asset management firms, often in leadership or specialized rolesInvestment banks, asset managers, hedge funds, focused on data-driven analysis

Executive Quants typically hold advanced degrees and engage in strategic, high-level decision-making within financial firms. Quantitative Analysts focus more on data analysis and model development. While both roles require strong technical skills, Executive Quants often operate at a senior level, influencing company strategies, whereas Quants are more involved in day-to-day analytical tasks.

What jobs pay 500,000 a year in the US?

Executive Quant roles in finance, such as senior quantitative analysts or hedge fund managers, can earn $500,000 or more annually, especially with bonuses and profit sharing. High-level positions in investment banking, private equity, and certain technology executive roles may also reach this compensation level, often requiring advanced degrees, extensive experience, and specialized skills in data analysis and financial modeling.

What jobs make $1,000,000 a year?

Executive roles such as Chief Executive Officers (CEOs), hedge fund managers, and investment bankers can earn $1,000,000 or more annually, often through a combination of salary, bonuses, and profit sharing. High-level finance, technology, and corporate leadership positions with significant responsibilities and experience are typically associated with such compensation levels.

What are the 4 types of quants?

In quantitative finance, four common types of quants are statistical arbitrageurs, algorithmic traders, risk managers, and model developers. Each specializes in different areas such as developing trading algorithms, managing risk models, or analyzing data to inform investment decisions. These roles often require strong programming skills and knowledge of financial theories and tools like Python, R, or MATLAB.

Are quant jobs high paying?

Quantitative analyst roles, including executive quant positions, are typically high-paying due to the specialized skills in mathematics, programming, and finance required. Compensation often includes a base salary, bonuses, and profit-sharing, reflecting the high level of expertise and the impact on trading strategies or risk management.

How does an Executive Quant typically collaborate with other departments to drive business strategy?

An Executive Quant often works closely with departments such as trading, risk management, and technology to ensure that quantitative models align with the firm's overall business strategy. They provide data-driven insights that inform high-level decision making, and frequently present complex analyses to non-technical stakeholders. This collaboration not only helps optimize portfolio performance but also ensures that regulatory and risk considerations are integrated into modeling approaches. Strong communication and leadership skills are essential, as Executive Quants often lead cross-functional teams and mentor junior quants.
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Executive Quant jobs near you
Infographic showing various Executive Quant job openings in the United States as of June 2026, with employment types broken down into 20% Full Time, and 80% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.
Executive Director, Equity Analytics & Quant Research Lead

Executive Director, Equity Analytics & Quant Research Lead

Madison-Davis, LLC

Manhattan, NY • Hybrid

$220K - $265K/yr

Full-time

Posted 29 days ago

Job description

Title: Executive Director, Equity Analytics & Quant Research Lead

Office Status: Hybrid – New York City

Base Salary: $220,000 – $265,000 Base + Bonus

Overview

A globally recognized investment platform is seeking a senior quantitative investment leader to oversee Equity Risk and Quantitative Research initiatives supporting institutional equity strategies. This high-impact role will sit at the intersection of portfolio management, quantitative analytics, risk oversight, and investment technology, partnering closely with PMs, traders, and senior investment leadership.

The position offers the opportunity to lead a highly visible quant function focused on portfolio construction, factor modeling, risk analytics, alpha research, and next-generation investment tools across a sophisticated multi-strategy equities platform. Ideal for candidates with strong quantitative investment expertise combined with leadership experience in institutional asset management environments.

Key Responsibilities
  • Lead and manage the Equity Risk & Quant Research function supporting portfolio managers, traders, and investment teams across equity strategies
  • Develop and enhance quantitative models focused on portfolio construction, factor analysis, alpha generation, and risk mitigation
  • Oversee production of portfolio analytics, exposure reporting, performance attribution, and market regime analysis
  • Drive research initiatives involving factor investing, sector rotation, momentum indicators, and style exposure monitoring
  • Partner directly with investment professionals to support idea generation, strategy evaluation, back testing, and implementation of quantitative investment signals
  • Lead deep-dive analysis on internal portfolios and external investment strategies for governance, due diligence, and performance assessment purposes
  • Evaluate and integrate emerging technologies including AI-driven analytics, alternative data sources, and advanced investment research tools
  • Improve automation, reporting infrastructure, and scalable analytics platforms supporting investment decision-making processes
  • Collaborate with technology and data teams to build and maintain robust quantitative applications and portfolio management tools
  • Mentor and develop junior quantitative professionals while maintaining a highly hands-on analytical leadership approach
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