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Quantitative Analyst Jobs in Delaware (NOW HIRING)

Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Data Science, or related ... Analytical and communication skills: Curious, detail-oriented, and motivated by complex analytical ...

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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 Aug 8, 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.

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 is a quantitative analyst?

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.

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.

What are the most commonly searched types of Quantitative Analyst jobs in Delaware? The most popular types of Quantitative Analyst jobs in Delaware are:
What are popular job titles related to Quantitative Analyst jobs in Delaware? For Quantitative Analyst jobs in Delaware, the most frequently searched job titles are:
What cities in Delaware are hiring for Quantitative Analyst jobs? Cities in Delaware with the most Quantitative Analyst job openings:
What are popular job titles related to Quantitative Analyst jobs in DE? For Quantitative Analyst jobs in DE, the most frequently searched job titles are:
Infographic showing various Quantitative Analyst job openings in Delaware as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $133,993 per year, or $64.4 per hour.

Quant Analytics Manager

JPMorgan Chase & Co

Wilmington, DE • On-site

Full-time

Medical, Retirement

Re-posted 11 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

73rd of 170 rated banks


Job description

Job Summary

As Vice President, Quant Analytics Manager, you will lead exploratory data analysis and reporting for key partners within the Anti-Money Laundering/Know Your Customer (AML/KYC) controls organization. You will drive data-driven innovation to solve complex business problems, manage a team of Quant Analytics Data Analysts, and build strong partnerships across the CCB Data Analytics organization and other functional groups to deliver scalable, high-impact data solutions.

Key Responsibilities

  • Set the data & analytics strategy: Define and execute a roadmap that solves critical business challenges and uncovers new opportunities.
  • Lead and develop the team: Manage, coach, and grow a team of Quant Analytics Data Analysts; set priorities and uphold a culture of quality, accountability, and innovation.
  • Partner with senior stakeholders: Serve as a primary analytics point of contact for executives and cross-functional leaders, ensuring deliverables align to business needs and measurable outcomes.
  • Drive advanced analytics delivery: Provide hands-on leadership designing and delivering sophisticated analytical solutions, translating business needs into data strategies, approaches, and outputs.
  • Communicate impact clearly: Present plans, progress, and results to senior leadership with crisp narratives, actionable insights, and transparent status reporting.
  • Enable innovation and AI adoption: Stay current on analytics/AI trends; evaluate, pilot, and implement new tools and techniques (including AI agents) to improve speed, quality, and impact.
  • Optimize resources for business outcomes: Allocate capacity and resources to maximize impact and influence outcomes tied to the organization's P&L; act as a recognized technical leader.
  • Improve processes and governance: Identify and implement enhancements to processes, tooling, and governance; communicate recommendations effectively to business leaders.
  • Uphold risk and compliance standards: Operate within defined risk parameters and compliance obligations, applying strong judgment and proactively strengthening the control environment.

Minimum Requirements

  • Education: Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Data Science, or related field).
  • Experience: 8+ years of demonstrated experience delivering creative, high-impact data solutions.
  • AI enablement: Hands-on experience integrating AI agents to improve efficiency and effectiveness of analytics delivery.
  • Tools and programming: 5+ years of advanced experience with Alteryx, Python, and Tableau.
  • Data management: Proficiency in SQL and foundational data table operations; strong problem-solving skills; demonstrated understanding of data architecture design concepts.
  • Analytical and communication skills: Curious, detail-oriented, and motivated by complex analytical challenges; ability to design/evaluate metrics aligned to business goals and communicate technical concepts to varied audiences.
  • People leadership: Experience managing diverse, multi-site teams.

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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