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Quant Analyst information

See Delaware salary details

$56.5K

$134K

$240.2K

How much do quant analyst jobs pay per year?

As of Jun 13, 2026, the average yearly pay for quant analyst in Delaware is $133,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $145,600.00 per year, depending on experience, location, and employer.

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

Quant analysts in top-tier financial firms or hedge funds can earn $500,000 or more annually, especially with bonuses and performance incentives. High-level roles often require advanced degrees, strong quantitative skills, and experience with programming languages like Python or R. Such compensation is typically associated with senior positions, including portfolio managers or chief investment officers in the finance industry.

What are typical challenges a Quant Analyst faces when collaborating with traders and software developers?

Quant Analysts often work closely with traders to translate complex market concepts into mathematical models and with developers to implement these models into trading platforms. One common challenge is ensuring clear communication across these teams, as traders may focus on market intuition while developers require precise technical details. Bridging the gap between theory and practical application can also be demanding, requiring flexibility and strong problem-solving skills. Successfully overcoming these challenges can lead to more robust trading strategies and smoother workflow integration.

What exactly does a quant analyst do?

A quant analyst uses mathematical models and statistical techniques to analyze financial data and develop trading strategies or risk management tools. They often work with programming languages like Python or R and rely on large datasets to inform investment decisions. Their work supports firms in optimizing portfolios and managing financial risks.

Is 30 too late to become a quant?

Quant analysts typically have backgrounds in mathematics, finance, or computer science, and many enter the field in their late 20s or early 30s. While starting earlier can provide more experience, transitioning into a quant role at age 30 is feasible with relevant skills, such as programming and statistical analysis, and often requires additional education like a master's or Ph.D. in a quantitative field.

What is the difference between Quant Analyst vs Data Analyst?

AspectQuant AnalystData Analyst
Required CredentialsDegree in finance, mathematics, or related field; often requires programming skillsDegree in statistics, business, or related field; may require basic programming knowledge
Work EnvironmentFinancial firms, hedge funds, investment banksCorporate, marketing, healthcare, and other industries
Employer & Industry UsagePrimarily in finance and trading sectorsAcross various industries for data interpretation and reporting

While both roles analyze data, Quant Analysts focus on financial modeling and trading strategies, often requiring advanced quantitative skills and programming. Data Analysts interpret data to support business decisions across industries. The roles overlap in data handling but differ in industry focus and complexity.

What are Quant Analysts?

Quant Analysts, short for quantitative analysts, are professionals who use mathematical models, statistics, and computer science to analyze financial data and help organizations make investment decisions. They work in areas such as risk management, derivative pricing, portfolio management, and algorithmic trading. Quant Analysts often develop complex models to identify trends, value securities, and manage financial risk. Their work is essential in banks, hedge funds, asset management firms, and financial technology companies.

Do JP Morgan hire quants?

JP Morgan hires quantitative analysts (quants) for roles in risk management, trading, and financial modeling. Candidates typically need strong backgrounds in mathematics, programming, and finance, with skills in tools like Python, R, or MATLAB. The firm values advanced degrees and relevant experience in quantitative finance or related fields.

What are the key skills and qualifications needed to thrive as a Quant Analyst, and why are they important?

To thrive as a Quant Analyst, you need strong quantitative, statistical, and programming skills, often backed by a degree in mathematics, finance, computer science, or a related field. Familiarity with tools such as Python, R, MATLAB, SQL, and knowledge of financial modeling platforms or risk management systems is essential. Analytical thinking, problem-solving ability, and effective communication are key soft skills that distinguish top performers. These competencies enable accurate data analysis, development of robust financial models, and clear presentation of complex findings to stakeholders.
What are popular job titles related to Quant Analyst jobs in Delaware? For Quant Analyst jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Quant Analyst jobs in Delaware look for? The top searched job categories for Quant Analyst jobs in Delaware are:
Quant Analyst jobs near you
Infographic showing various Quant Analyst job openings in Delaware as of June 2026, with employment types broken down into 3% Locum Tenens, 49% Full Time, 38% Part Time, and 10% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $133,993 per year, or $64.4 per hour.
Quantitative Analytics Associate - Fraud Prevention Optimization Strategy

Quantitative Analytics Associate - Fraud Prevention Optimization Strategy

JPMorgan Chase & Co

Wilmington, DE

Full-time

Medical, Retirement

Posted 2 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 469 frontline employees who took The Breakroom Quiz

46th of 141 rated banks

Job description

Are you interested in joining a dynamic team? Become a Quantitative Analytics Associate on our Consumer and Community Banking (CCB) Fraud Prevention Optimization Strategy team to reduce cost of fraud and improving customer experience. The breadth of experiences, learnings, and connections in this role will enable your growth and development. To excel, you'll be highly motivated, highly analytical, extremely detail oriented, and an exceptional problem solver who takes pride in being part of an organization that owns customer issues from beginning to end and delivers accurate, timely solutions. 

As a Quant Analytics Associate I in our Fraud Prevention Optimization team you will focus on reducing cost of fraud, through complex analyses combined with business insights and collaboration. Your objective is reducing losses and / or operating expenses while balancing customer impact through optimizing business processes and decisioning. You will frequently interact and communicate with cross-functional partners and present complex analysis succinctly to managers and executives. You will be provided an opportunity to be part of a dynamic team that is instrumental in protecting the bank by leveraging complex analytics and new tools like large language models to deliver sustainable, hard hitting business improvements.

Job Responsibilities

  • Interpret and analyze complex data to formulate problem statement, provide concise conclusions regarding underlying risk dynamics, trends, and opportunities.
  • Use advanced analytical & mathematical techniques to solve complex business problems. 
  • Manage, develop, communicate, and implement optimal fraud strategies to reduce fraud related losses and improve customer experience across credit card fraud lifecycle. 
  • Identify key risk indicators, develop key metrics, enhance reporting, and identify new areas of analytic focus to constantly challenge current business practices.
  • Provide key data insights and performance to business partners.
  • Collaborate with cross-functional partners to solve key business challenges.
  • Assist team efforts in the critical projects while providing clear/concise oral and written communication across various functions and levels.
  • Champion the usage of latest technology and tools, such as large language models, to drive value at scale across business organizations.

Required qualifications, capabilities, and skills

  • Bachelor's degree in a quantitative field or 3 years risk management or other quantitative experience
  • Background in Engineering, statistics, mathematics, or another quantitative field 
  • Advanced understanding of Python, SAS, and SQL
  • Query large amounts of data and transform into actionable recommendations.
  • Strong analytical and problem-solving abilities
  • Experience delivering recommendations to leadership.
  • Self-starter with ability to execute quickly and effectively.
  • Strong communication and interpersonal skills with ability to interact with individuals across departments/functions and with senior level executives

Preferred qualifications, capabilities, and skills

  • MS degree in a quantitative field or 4 or more years risk management or other quantitative experience.
  • Hands on Knowledge of AWS and Snowflake.
  • Advanced analytical techniques like Machine Learning, Large Language Model Prompting or Natural Language Processing will be an added advantage.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including 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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