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Quant Analytics Jobs (NOW HIRING)

Quant Analytics Manager As a Quant Analytics Manager on the Digital Analytics team you support an extensive portfolio of digital products by using data to provide recommendations that enhance the ...

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Quant Analytics information

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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.
More about Quant Analytics jobs
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:
Quant Analytics Manager

Quant Analytics Manager

Chase

Brooklyn, NY • On-site

Other

Medical, Retirement

Posted 5 days ago


Key responsibilities

  • Analyze and visualize digital customer behaviors to craft compelling narratives that drive insights and action.

  • Lead the creation, iteration, reporting, and causal analysis of OKRs to track and achieve strategic goals.

  • Serve as a subject matter expert in Digital data, providing consultation to the broader Data & Analytics organization.


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

Quant Analytics Manager

As a Quant Analytics Manager on the Digital Analytics team you support an extensive portfolio of digital products by using data to provide recommendations that enhance the customer experience and build long term, profitable customer relationships. In this role, you will be the driver of the analytics book of work that is transforming Chase's cross-channel, cross-line of business strategy to a hyper-personalized, data-driven, customer centric model.

Your expertise in digital data and analytical thought leadership will be used to help define OKRs, develop and measure A/B tests, scope strategic analytical questions and create analytical plans providing insights to drive outcomes for Chase's 75 million digital customers. You will be responsible for delivering actionable analysis in clear and compelling terms while building relationships with Digital Product, Tech, Design, Strategy and more. The ideal candidate should be self-driven and independent, motivated to establish and grow a platform to push the business forward.

Job Responsibilities:

  • Data Storytelling: Analyze and visualize digital customer behaviors to craft compelling narratives that drive insights and action.
  • OKR Management: Lead the creation, iteration, reporting, and causal analysis of OKRs to track and achieve strategic goals.
  • Data-Driven Decision Making: Foster data-informed decisions and experimentation by establishing strategic partnerships, promoting best practices, and ensuring clear communication.
  • Opportunity Identification: Develop OKRs and conduct deep-dive analyses to uncover opportunities for driving Digital CSAT, Engagement, and Deepening
  • Consultation: Serve as a subject matter expert in Digital data, providing consultation to the broader Data & Analytics organization.

Required qualifications, skills, and responsibilities:

  • 7+ years of experience analyzing customer experiences, digital products/usage
  • Proven track record of problem-solving using data and building new analytics capabilities. Talent for translating numbers into an actionable story for business leaders
  • Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners
  • Experience in querying big data platforms and SAS/SQL
  • Experience with digital analytics
  • Bachelor's degree is required (preferred in data science, mathematics, statistics, econometrics, engineering, or related fields).

Preferred qualifications, skills, and responsibilities:

  • Hands-on experience with generative AI solutions, including large language models, retrieval-augmented generation, and agentic AI frameworks.
  • Experience with analytical tools such as Python, R, Alteryx, Tableau, and Adobe Analytics
  • Experience working with Big Data environments (i.e., Snowflake, AWS)
  • Experience with A/B testing
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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