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Executive Quant Jobs (NOW HIRING)

Quant Analytics Manager

Columbus, OH · On-site

$118K - $175K/yr

You'll partner closely with product leadership, senior business executives, and cross-functional ... Lead quantitative research studies, including survey and big data analysis * Collaborate with ...

You'll partner closely with product leadership, senior business executives, and cross-functional ... Lead quantitative research studies, including survey and big data analysis * Collaborate with ...

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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 Sep 10, 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 is an executive quant?

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.

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.

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 cities are hiring for Executive Quant jobs?

Cities with the most Executive Quant job openings:

What are the most commonly searched types of Quant jobs?

The most popular types of Quant jobs are:

What states have the most Executive Quant jobs?

States with the most job openings for Executive Quant jobs include:

What are popular job titles related to Executive Quant jobs?

For Executive Quant jobs, the most frequently searched job titles are:

Infographic showing various Executive Quant job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.

Quant Analytics Associate Sr - DART

Columbus, OH

J.P. Morgan
Banking and Credit Intermediation • 10K+ employees

Full-time

Medical, Retirement

Re-posted 11 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

Join our team as a senior quantitative analytics associate, where you'll collaborate with business partners to design innovative, automated solutions using cutting-edge technologies, driving operational efficiency in a dynamic, learning-focused environment.       

As a Quant Analytics Associate Senior  within DART (Data, Analytics and Reporting Team), you will play a crucial role in the DART MIS (Management Information System) setup and will be tasked with delivering effective business solutions. You will collaborate closely with various stakeholders and management levels to ensure the delivery of the most optimal solutions. As a member of the DART team you will leverage a broad technology suite to implement automated solutions and deliver data driven insights.

Job Responsibilities

  • Own end-to-end MIS solution delivery: requirements gathering, metric definition, source data acquisition, modeling, transformation, validation, and visualization.
  • Design and build reliable ELT/ETL pipelines in Python/SQL; implement orchestration, version control, and CI/CD to ensure repeatability and resilience.
  • Create executive-ready dashboards and self-service data marts (e.g., Tableau) with intuitive UX and clear metric definitions.
  • Apply advanced analytics (forecasting/time series, anomaly detection, segmentation, queuing/capacity planning) to optimize operational performance
  • Implement data quality frameworks (unit/integration tests, validation checks, anomaly monitoring), define SLAs/SLOs, and maintain runbooks.
  • Translate complex findings into concise narratives for senior stakeholders; influence decisions with data-backed recommendations.
  • Identify risks opportunities proactively, and value-unlock levers in operational processes; drive innovation in data management and automation.
  • Manage the book of work, prioritize initiatives, and deliver projects on time; lead cross-functional teams as SME and mentor junior colleagues.
  • Adhere to data governance, privacy, and control standards; ensure audit readiness, reproducibility, and clear documentation.
     

Required Qualifications, Capabilities, and Skills

  • 5+ years of hands-on analytics experience delivering measurable business improvements, with a strong track record in operations analytics or MIS within complex environments.
  • Bachelor's degree in a quantitative or technical field (Economics, Engineering, Physical Sciences, Mathematics, Operations Research, Statistics, Computer Science).
  • Expert-level SQL (complex joins, window functions, CTEs, performance tuning) and strong Python (pandas, NumPy; unit testing with pytest; structured logging; packaging).
  • Proven experience building automated data pipelines and operating in data lake/cloud environments (Snowflake; AWS services such as S3, Glue, Lambda; or equivalent).
  • Strong data visualization experience (Tableau or equivalent), including KPI design, dashboard UX, and audience-specific storytelling.
  • Working knowledge of machine learning and applied statistics for operations use cases (time series forecasting, supervised/unsupervised methods, feature engineering).
  • Familiarity with data wrangling tools (e.g., Alteryx) and, as applicable, R for statistical analysis.
  • Excellent verbal and written communication skills - able to synthesize complex analyses into concise executive narratives and visuals.
  • Demonstrated ability to collaborate across functions and levels; influence decisions; and drive adoption of data solutions.

Preferred Qualifications, Capabilities, and Skills

  • Banking industry experience and domain knowledge in Consumer & Community Bank (CCB) Operations (e.g., servicing/contact centers, payments/claims, fraud/disputes, collections) and workforce/capacity planning.
  • Experience with experimentation and causal methods (A/B testing design, uplift modeling, causal inference frameworks).
  • Modern data engineering practices: orchestration (Airflow or equivalent), transformation frameworks (dbt), API integrations, and containerization (Docker) or comparable tooling
  • Performance and cost optimization in cloud data platforms; query/profile tuning for large-scale datasets.
  • Exposure to risk and control frameworks; model documentation; audit and lineage standards in regulated environments.
  • Certifications (e.g., AWS Data/Analytics, Snowflake, Tableau).
     

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

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.

Equal Opportunity Employer/Disability/Veterans

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.