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Executive Quant Jobs (NOW HIRING)

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

... and executive audiences. The role is ideal for analytical thinkers who thrive in dynamic ... Design and develop quantitative methodologies that combine multiple market and reference data ...

EXECUTIVE ASSISTANT

Williamstown, NJ · On-site

$55K - $75K/yr

Executive Assistant Job Classification: Exempt Type of Position: Full-time Location: Williamstown ... a quantitative-related field. Relevant certifications (e.g., Data Analytics, Project Management ...

EXECUTIVE ASSISTANT

Williamstown, NJ · On-site

$55K - $75K/yr

Executive Assistant Job Classification: Exempt Type of Position: Full-time Location: Williamstown ... a quantitative-related field. Relevant certifications (e.g., Data Analytics, Project Management ...

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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 May 28, 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 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.

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 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 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.

More about Executive Quant jobs
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:
Infographic showing various Executive Quant job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 100% Physical job distribution, with an average salary of $93,552 per year, or $45 per hour.
Quant Analytics Senior Associate

Quant Analytics Senior Associate

JPMorgan Chase & Co.

Manhattan, NY • On-site

$104.50K - $150K/yr

Full-time

Medical, Retirement

Posted 17 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 466 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Job Description
Job Summary
As a Quant Analytics Senior Associate within the Product Strategy Team, you will help shape the future of Connected Commerce by developing data-driven solutions that optimize commercial transactions and support business growth. You will collaborate across the organization to advance product, design, enhancing customer experience.
In this role, you will apply your quantitative and problem-solving skills to deliver actionable insights and innovative solutions in a fast-paced environment. As part of the Connected Commerce Data & Analytics organization, you will contribute to advanced analytics projects across diverse operational functions, channels, and products.
Job Responsibilities
  • Participate in data science projects: Leverage quantitative analytics on structured and unstructured data to generate actionable insights that influence business decision-making and strategic direction, address critical business problems, and identify growth opportunities.
  • Drive analytics: Design, develop, and implement complex analytical solutions end-to-end with limited guidance, including formulating project proposals, performing hands-on data mining, cleaning, and exploratory analysis, defining key metrics, designing experiments and models, and translating abstract findings into actionable business solutions.
  • Develop scalable solutions: Architect robust, efficient, and scalable data pipelines, modeling solutions, and analytics frameworks by leveraging cloud-based technologies (e.g., Snowflake, AWS, Tableau), programming languages (e.g., Python), and Gen AI skills (e.g., LLM calling, prompt engineering).
  • Communicate insights optimally: Present findings, recommendations, and results effectively to both technical and non-technical audiences, including executive leadership, through clear reports, visualizations, and presentations to enable data-driven decision-making.
  • Project management: Set and align expectations regarding timelines and scope. Manage priorities to meet commitments.
  • Collaboration across teams: Establish and maintain close relationships with key cross-functional partners to understand business strategies, develop goals, identify impactful projects, address opportunities, influence key decisions with data, and ensure client satisfaction.
  • Adaptation, compatibility, and culture fit: Contribute to a positive and inclusive culture and team environment.

Required Qualifications, Skills, and Capabilities
  • BS/BA degree in a relevant quantitative field (e.g., Statistics, Economics, Finance, Business Analytics, Mathematics, Engineering, Computer Science, or a related field involving significant quantitative research and data analytics).
  • 2+ years of financial services industry experience in business analytics roles (e.g., marketing/risk analytics, product analytics, business insights).
  • 2+ years of work experience across a broad range of analytics technologies and tools (SQL, Spark, Python, Snowflake, AWS, Tableau, Unix, Excel Pivot, etc.) in a big data environment.
  • Exceptional communicator capable of conveying complex information in an understandable, compelling, and persuasive manner to both technical and non-technical stakeholders.
  • Adept critical thinker and problem solver with the ability to identify key drivers, prioritize tasks, be results-oriented, and demonstrate strong attention to detail.
  • Ability to work independently as well as collaboratively in a dynamic, cross-functional environment, with a strong attention to detail and a passion for learning.
  • Strong analytical and conceptual thinking skills, with a demonstrated ability to address complex, unstructured business problems through quantitative methods.

Preferred Qualifications, Skills, and Capabilities
  • Master's/PhD in a quantitative field (e.g., Statistics, Economics, Finance, Business Analytics, Mathematics, Engineering, Computer Science, or a related field involving significant quantitative research and data analytics) with hands-on experience leveraging sophisticated analytical, machine learning, natural language processing, and generative AI techniques.
  • Experience prompt engineering.

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.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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