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$52.5K

$119.2K

$196.5K

How much do quant analytics jobs pay per year?

As of Jun 29, 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, and why are they important?

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

Quantitative analysts, especially senior or lead roles in hedge funds, investment banks, and proprietary trading firms, can earn $500,000 or more annually through base salary, bonuses, and profit sharing. These positions typically require advanced degrees, strong programming skills, and experience in financial modeling and risk management. Compensation varies based on performance, firm size, and market conditions.

What are Quant Analytics?

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.

Is 30 too late to become a quant?

Quantitative analyst roles typically require strong backgrounds in mathematics, programming, and finance, often gained through advanced degrees or relevant experience. While starting a career at 30 is possible, it may require additional training or certifications such as a master's in financial engineering or data science to compete effectively in the field.

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

In the field of quantitative analytics, roles such as senior hedge fund quant, proprietary trader, or chief investment officer can earn $1,000,000 or more annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, strong programming skills, and experience in financial modeling and risk management.

What does a quant analyst do?

A quant analyst uses mathematical models and statistical techniques to analyze financial data and develop trading strategies. They often work with programming languages like Python or R and tools such as Excel or MATLAB to identify market opportunities and manage risk. Their work supports investment decisions and requires strong analytical skills and knowledge of finance and mathematics.

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.
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Quant Analytics [Multiple Positions Available]

Quant Analytics [Multiple Positions Available]

JPMorgan Chase & Co

Plano, TX

Full-time

Medical, Retirement

Posted 25 days ago


Key responsibilities

  • Leverage customer data to generate insights and recommendations that shape business and marketing strategies for deposit portfolios.

  • Develop and deliver business intelligence through dashboards and executive reports, tracking key metrics and sharing findings with stakeholders.

  • Design and analyze digital experiments, measure campaign effectiveness, and communicate results and recommendations to senior leadership.


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 486 frontline employees who took The Breakroom Quiz

46th of 142 rated banks


Job description

DESCRIPTION:

Duties: Leverage customer data to generate insights that shape business and marketing strategies for deposit portfolios. Analyze large and complex datasets, translating them into recommendations that guide decision- making and set priorities. Develop and deliver business intelligence through dashboards and executive reports, tracking key metrics such as customer engagement, conversion funnel performance, and account production, and share these findings with stakeholders. Assess omni-channel customer journeys, identifying areas of friction and uncovering opportunities to improve discoverability, increase conversion rates, and enhance the overall customer experience. Apply advanced analytics techniques and integrate both internal and external data to segment current and potential customers, identify growth opportunities, refine targeting strategies, and evaluate portfolio performance. Drive the forecasting of P&L impacts for marketing initiatives and business cases, helping to define strategic direction and priorities. Design and analyze digital experiments, measure campaign effectiveness, and communicate results and recommendations to senior leadership. Collaborate with teams across marketing, product, technology, and customer experience research to implement initiatives that drive profitable growth.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Business Analytics, Data Science, Data Analytics, or related field of study plus 3 years of experience in the job offered or as Quant Analytics, Strategic Category Analyst, Business Analyst, or related occupation. The employer will alternatively accept a Bachelor's degree in Business Analytics, Data Science, Data Analytics, or related field of study plus 5 years of experience in the job offered or as Quant Analytics, Strategic Category Analyst, Business Analyst, or related occupation.

Skills Required: This position requires three (3) years of experience with the following: Automating the production of recurring reports and dashboards in SQL using ETL techniques and streamlined workflows; Data blending, workflow optimization, process automation, and integration of data from big data platforms using Alteryx; Developing interactive Excel and PowerPoint reports with advanced functions including VLookup, Data Analysis Add-Ons, Pivots, Macros, Data Validation, Waterfall, and Gantt Charts; Preparing performance measurements by translating quantitative information; Performing data ingestion, data transformation, and query optimization using Teradata or Snowflake big data platforms; Conducting statistical analysis and predictive modeling using R or Python; Building interactive Tableau dashboards leveraging advanced visualization, ETL automation, and ODBC connectors; Monitoring customer digital engagement across owned digital platforms, optimizing user experience, and driving data-driven marketing strategies using Adobe Analytics; Driving customer behavioral analytics and projects; Guiding A/B testing design, performance measurement, and deep dives analysis; Using customer omni channel shopping journey analysis; Conducting customer segmentation and strategic targeting using R or Python; Performing statistical analysis using machine learning methods including multivariate regression, clustering analysis, classification techniques, cohort analysis, and predictive modeling.  

Job Location: 8181 Communications Parkway, Plano, TX 75024.

Full-Time.

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.

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