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Quant Analyst Jobs in Delaware (NOW HIRING)

Monitor and disseminate trade ideas from our range of quant tools. * Conduct standalone research ... Communicate model output with Portfolio Managers, Analysts, Traders and Investment Directors in a ...

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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 12, 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:
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.
Quant Analytics [Multiple Positions Available]

Quant Analytics [Multiple Positions Available]

JPMorgan Chase & Co.

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 5 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

Job Description
DESCRIPTION:
Duties: Collaborate with stakeholders across functions and LOBs to drive analytics and formulate quantifiable business cases. Partner with Product Groups and Lines of Business to assess business drivers and underlying data. Monitor KPIs/initiatives, trend analysis, and analyses, including segmentations, optimizations and other techniques to improve business performance. Import, clean, transform and validate data from multiple sources in preparation for analytics. Analyze customer interactions and events across a variety of channels (calls, branch, online, mobile) to understand customer journeys and friction points. Leverage a variety of analytical applications to describe, analyze, and interpret trends and patterns in complex data sets. Prepare and deliver presentations summarizing insights and conclusions to socialize to stakeholders and Senior leadership. Partner and collaborate closely with data management teams, strategy teams, and other analytics resources across multiple functional teams. Leverage large language models (LLM) and generative AI technologies to efficiently process and analyze survey responses, extracting valuable insights and trends to inform data-driven decision-making. Utilize statistical methods to effectively sample and identify appropriate survey audiences, ensuring representative and reliable data collection for comprehensive analysis. Leverage Data and Analytic Team partnerships for incorporating additional data sets for optimizing business results. Act as a mentor to Team members, stakeholders and fellow Data and Analytics partners in survey data and results. Manage book of work with management calibration.
QUALIFICATIONS:
Minimum education and experience required: Master's degree in Business Analytics, Statistics, Machine Learning, or related field of study plus 1 year of experience in the job offered or as Quant Analytics, Quantitative Analyst, or related occupation. The employer will alternatively accept a Bachelor's degree in Business Analytics, Statistics, Machine Learning, or related field of study plus 3 years of experience in the job offered or as Quant Analytics, Quantitative Analyst, or related occupation.
Skills Required: This position requires experience with the following: Developing quantifiable business goals and applying statistical and analytical methods to derive actionable insights for decision-making and prioritization; Monitoring key performance indicators (KPIs) and initiatives, trend analysis, and analyses, including segmentations, optimizations and other techniques to improve business performance; Collaborating with cross-functional teams to drive analytics initiatives and disseminate insights; Importing, cleaning, transforming, and validating data from diverse sources using ETL (Extract, Transform, Load) processes to prepare for analysis; Leveraging tools for Database querying including at least one of the following: SQL, Alteryx, Python, or R; Leveraging statistical analysis tools to analyze data sets including at least one of the following: SQL, Alteryx, Python, or R; Leveraging tools for Data retrieval including at least one of the following: SQL, Alteryx, Python, R, Tableau, or Adobe Analytics; Developing and delivering executive-level presentations summarizing data insights and conclusions; Processing and analyzing survey responses, and extracting insights and trends for data-driven decision-making; Identifying and selecting representative survey audiences for reliable data collection and comprehensive analysis using statistical sampling methods; Interpreting data and addressing business challenges through data-driven solutions.
Job Location: 301 N Walnut St, Wilmington, DE 19801.
Full-Time.
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.

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