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Quant Analytics Jobs (NOW HIRING)

Quant Analytics-Senior Associate

Plano, TX · On-site

$79K - $99K/yr

Experience in finance analytics, quantitative analytics, credit analytics, or forecasting * Strong analytical and problem-solving skills with the ability to synthesize data into clear insights

Quant Analytics-Senior Associate

Plano, TX

$81K - $101K/yr

Experience in finance analytics, quantitative analytics, credit analytics, or forecasting * Strong analytical and problem-solving skills with the ability to synthesize data into clear insights

Showing results 41-60

Quant Analytics information

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$52.5K

$119.2K

$196.5K

How much do quant analytics jobs pay per year?

As of Aug 12, 2026, the average yearly pay for quant analytics in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.

What is the difference between Quant Analytics vs Data Analyst?

AspectQuant AnalyticsData Analyst
Required CredentialsDegree in finance, mathematics, or related fields; often requires programming skillsDegree in statistics, business, or related fields; may require basic programming knowledge
Work EnvironmentFinancial firms, hedge funds, investment banksCorporate, marketing, healthcare, and other industries
Job FocusDeveloping complex models for trading and risk managementInterpreting data to inform business decisions and reporting

Quant Analytics professionals focus on building advanced financial models and algorithms primarily in finance and trading environments. Data Analysts interpret and visualize data to support business strategies across various industries. While both roles involve data handling, Quant Analytics emphasizes quantitative modeling and programming, whereas Data Analysts focus on data interpretation and reporting.

What are the key skills and qualifications needed to thrive as a quant analytics professional?

To thrive in Quant Analytics, you need strong quantitative skills, advanced knowledge of mathematics and statistics, and often a degree in fields like mathematics, physics, engineering, or finance. Familiarity with programming languages such as Python, R, or MATLAB, as well as experience with data analysis tools and financial modeling software, is typically required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and conveying insights to stakeholders. These skills and qualities are vital for developing robust quantitative models that support informed decision-making in fast-paced financial environments.

What is a quant analytics professional?

Quant Analytics, short for quantitative analytics, refers to the use of mathematical models, statistical methods, and computational techniques to analyze financial data and inform investment decisions. Professionals in this field, known as quantitative analysts or 'quants,' develop and implement algorithms for risk management, pricing, trading strategies, and portfolio management. Quant Analytics is widely used in banks, hedge funds, and investment firms to gain insights from large data sets and optimize financial performance. The role typically requires strong skills in mathematics, programming, and finance.

What does a quant analytics do?

A quant analyst, or quantitative analyst, develops mathematical models and uses statistical techniques to analyze financial data and inform investment decisions. They often work with programming languages like Python or R and tools such as Excel or specialized software to identify trends, assess risks, and optimize trading strategies.

How do quant analytics professionals typically collaborate with other teams within a financial institution?

Quant Analytics professionals often work closely with traders, risk managers, and software engineers to develop, implement, and refine quantitative models. They translate complex data into actionable insights, which may influence trading strategies or risk assessment. Effective communication and teamwork are essential, as quants must present their findings in a way that is understandable and useful to non-technical stakeholders. Collaboration is usually facilitated through regular meetings, code reviews, and joint problem-solving sessions.
What cities are hiring for Quant Analytics jobs? Cities with the most Quant Analytics job openings:
What states have the most Quant Analytics jobs? States with the most job openings for Quant Analytics jobs include:
Infographic showing various Quant Analytics job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Quant Analytics Senior associate

JP Morgan Chase

Wilmington, DE • On-site

Full-time

Medical, Retirement

Re-posted 5 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks


Job description

Job Responsibilities

You'll be joining a pivotal, cross-functional team that measures and understands Chase's marketing performance.

You will drive meaningful impact by:

  • Partnering with analytics teams across the organization to improve how marketing effectiveness is measured, including processes, methodologies, and governance.
  • Building AI-enabled solutions that identify meaningful changes in business performance and deliver actionable insights to stakeholders without creating unnecessary noise.
  • Translating business questions into structured analytical approaches and actionable recommendations.
  • Building credibility with stakeholders through clear communication, sound analysis, and practical solutions.
  • Taking ownership of projects and processes from problem definition through implementation.
  • Collaborating with peers to maintain high standards of quality and analytical rigor.

Required Qualifications, Capabilities and Skills

  • Undergraduate or advanced degree in an analytical field, data bootcamp certification, or equivalent experience in analytics, consulting, modeling, or business analysis.
  • At least 3 years of experience in an analytical role that proactively supported data-driven decision-making.
  • Experience with analytical tools and techniques (e.g., SQL, Python, regression analysis, visualization tools).
  • Meaningful experimentation with AI tools (e.g., Copilot, Claude, ChatGPT, or similar technologies) and an eagerness to continue learning as capabilities evolve.
  • Strong analytical judgment, including the ability to distinguish meaningful business signals from normal variation and communicate insights with appropriate context.
  • Strong critical thinking skills, including the ability to validate results and identify flaws in analyses, datasets, or AI-generated outputs.
  • Ability to frame business problems as testable hypotheses and communicate findings to technical and non-technical audiences.
  • Strong organizational skills and the ability to manage multiple priorities simultaneously.

Preferred Qualifications, Capabilities and Skills

  • Financial services background.
  • Experience at a top-tier analytics or management consulting firm.
  • Demonstrated experience using AI to improve business outcomes, analytical workflows, decision-making processes, or stakeholder engagement.
  • Experience designing or improving alerting, monitoring, or decision-support processes that help stakeholders focus on meaningful business changes.
  • MBA or other master's degree in a quantitative field.

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

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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