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Quantitative Analyst Jobs in Delaware (NOW HIRING)

J.P. Morgan

Quant Analytics Associate

Wilmington, DE

As a Quantitative Analytics Associate in the Analytics and Business Strategy Execution team, you will play a key role supporting data-driven decisions with direct impact to the financial bottom line ...

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Quantitative Analyst information

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$56.5K

$134K

$240.2K

How much do quantitative analyst jobs pay per year?

As of Jul 16, 2026, the average yearly pay for quantitative 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 are the key skills and qualifications needed to thrive as a Quantitative Analyst, and why are they important?

To thrive as a Quantitative Analyst, you need a strong background in mathematics, statistics, computer science, and finance, often supported by an advanced degree such as a master's or PhD. Expertise in programming languages like Python, R, or MATLAB, as well as familiarity with financial modeling tools and statistical software, is typically required. Analytical thinking, problem-solving abilities, and clear communication skills help you interpret complex data and convey insights to stakeholders. These competencies are crucial for developing accurate financial models, managing risk, and enabling data-driven decision-making in competitive financial environments.

What Does a Quantitative Analyst Do?

The responsibilities of quantitative analysts, or quants, include using mathematical models and statistics to analyze data to assess risks and develop solutions for business issues. In this role, you can work in a variety of industries, from production to finance to insurance. You typically gather and interpret data to help an organization implement a solution for maintaining its fiscal health. Duties vary with the industry. Some positions focus on collecting information from the general public or consumers of particular products through the use of polls and surveys to improve their design and marketing. Other quants work alongside researchers in the health care field to test treatments and medical equipment design.

Is a quant analyst high paying?

Quantitative analysts typically earn high salaries due to their specialized skills in mathematics, programming, and finance. Compensation often includes base salary, bonuses, and profit-sharing, especially in financial firms and hedge funds. Experience, education, and technical proficiency influence earning potential significantly.

How does a Quantitative Analyst typically collaborate with other departments within a financial organization?

Quantitative Analysts frequently work closely with traders, portfolio managers, risk managers, and IT professionals to develop, test, and implement financial models. Effective communication is essential, as they must translate complex quantitative findings into actionable insights for decision-makers. It's common to participate in cross-functional meetings, provide model validation support, and help interpret results for non-technical stakeholders. This collaborative environment fosters both technical skill development and a deeper understanding of the business, which can open doors to broader career opportunities.

What are Quantitative Analysts?

Quantitative Analysts, often called 'quants,' are professionals who use mathematical models, statistics, and computer programming to analyze financial data and support decision-making in finance. They develop and implement complex models to assess risk, value financial securities, and identify profitable investment opportunities. Quants are commonly employed by investment banks, hedge funds, asset management companies, and other financial institutions. Their work helps optimize trading strategies, manage risk, and improve financial performance.

Do JP Morgan hire quants?

JP Morgan hires quantitative analysts, often called quants, to develop models for trading, risk management, and investment strategies. Candidates typically need strong backgrounds in mathematics, programming, and finance, with skills in tools like Python, R, or MATLAB. The firm offers roles across various divisions, including investment banking and asset management.

What do you do as a quantitative analyst?

A quantitative analyst, or quant, develops mathematical models to analyze financial data and inform investment decisions. They use programming languages like Python or R, and tools such as Excel and statistical software, to identify trends, assess risks, and optimize portfolios in finance or trading environments.

What is the difference between Quantitative Analyst vs Data Scientist?

AspectQuantitative AnalystData Scientist
Required CredentialsDegree in finance, mathematics, or statistics; often certifications like CFADegree in computer science, statistics, or related fields; certifications like CAP or data science certifications
Work EnvironmentFinancial firms, investment banks, hedge fundsTech companies, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in finance and investment sectorsAcross multiple industries including tech, healthcare, and retail
Common Search & Comparison IntentUnderstanding roles in finance and investment analysisExploring data analysis and machine learning roles

While both roles involve data analysis and statistical skills, Quantitative Analysts focus on financial modeling and investment strategies within finance firms. Data Scientists have a broader scope, applying data analysis across various industries, often with programming and machine learning expertise.

Will AI replace quant analysts?

AI is transforming quantitative analysis by automating data processing and modeling tasks, but it is unlikely to fully replace quant analysts. Instead, AI tools are expected to augment their work, requiring analysts to develop skills in programming, machine learning, and data interpretation to stay relevant in the evolving field.
More about Quantitative Analyst jobs
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Quantitative Analyst jobs near you
Quantitative Analytics Associate - Fraud Prevention Optimization Strategy

Quantitative Analytics Associate - Fraud Prevention Optimization Strategy

JPMorgan Chase & Co

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 5 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

58th of 149 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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