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Quantitative Modeling Jobs in Delaware (NOW HIRING)

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Quantitative Modeling information

See Delaware salary details

$98.1K

$169.9K

$259.7K

How much do quantitative modeling jobs pay per year?

As of Jun 21, 2026, the average yearly pay for quantitative modeling in Delaware is $169,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,600.00 and $199,200.00 per year, depending on experience, location, and employer.

What is a quantitative modeler?

A quantitative modeler is a professional who develops mathematical and statistical models to analyze financial data, assess risk, and support decision-making in finance or related fields. They often use programming languages like Python or R and have strong skills in mathematics, statistics, and data analysis. This role typically requires a background in finance, mathematics, or engineering and familiarity with modeling tools and software.

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

In quantitative modeling, senior roles such as quantitative analysts, quantitative traders, and hedge fund managers can earn $500,000 or more annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, strong programming skills, and experience in financial markets or risk management.

What are typical daily tasks and projects for someone in a Quantitative Modeling role?

In a Quantitative Modeling position, your daily activities usually include analyzing large datasets, building and validating predictive models, and developing algorithms to solve business or financial problems. You might spend time coding, running simulations, and interpreting model outputs to inform strategy or risk assessment. Collaboration is common—you'll often work with data scientists, business analysts, or subject matter experts to refine models and ensure they're aligned with organizational goals. The work is intellectually stimulating and fast-paced, with opportunities to see your analytical insights directly impact decision-making.

What is a Quantitative Modeling job?

A Quantitative Modeling job involves using mathematical, statistical, and computational techniques to analyze data and construct models that help businesses make informed decisions. Professionals in this field work in finance, risk management, economics, and other industries to develop predictive models, optimize strategies, and assess uncertainties. They often use programming languages like Python, R, or MATLAB, along with machine learning and statistical methods, to solve complex problems.

What job makes $10,000 a month without a degree?

In quantitative modeling, high-paying roles such as quantitative trader or algorithmic trader can earn $10,000 or more monthly without a formal degree, often relying on strong analytical skills, programming knowledge, and experience with financial markets. Success in these roles depends on demonstrated expertise, risk management, and the ability to develop profitable models, rather than formal education alone.

What jobs make $1,000,000 a year?

In quantitative modeling, high-earning roles such as senior quantitative analysts, hedge fund managers, and chief investment officers can earn $1,000,000 or more annually, often through a combination of base salary, bonuses, and profit sharing. These positions typically require advanced degrees, strong analytical skills, and experience in finance, risk management, or data science.

What are the key skills and qualifications needed to thrive in the Quantitative Modeling position, and why are they important?

To excel in Quantitative Modeling, a strong foundation in mathematics, statistics, and data analysis is essential, often complemented by a degree in a quantitative field such as mathematics, finance, engineering, or physics. Proficiency in programming languages like Python, R, MATLAB, or statistical software, as well as familiarity with data visualization tools and financial modeling certifications (such as CFA or FRM), is highly valued. Effective quantitative modelers possess strong problem-solving abilities, attention to detail, and the ability to communicate complex findings clearly to both technical and non-technical stakeholders. These skills enable accurate, data-driven decision-making and the creation of robust predictive models in business, finance, or technology sectors.

What are popular job titles related to Quantitative Modeling jobs in Delaware? For Quantitative Modeling jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Quantitative Modeling jobs in Delaware look for? The top searched job categories for Quantitative Modeling jobs in Delaware are:
Quantitative Modeling jobs near you
Infographic showing various Quantitative Modeling job openings in Delaware as of June 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 73% Physical, 5% Hybrid, and 22% Remote job distribution, with an average salary of $169,875 per year, or $81.7 per hour.
Quant Analytics Vice President Card Data Analytics

Quant Analytics Vice President Card Data Analytics

JP Morgan Chase

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 7 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 470 frontline employees who took The Breakroom Quiz

46th of 141 rated banks

Job description

Join our Card Data & Analytics Team as a Quant Analytics Vice President and play a pivotal role in shaping the future of our credit card business. This position offers significant career growth, skill development, and the opportunity to drive impactful business decisions through advanced marketing analytics. You'll collaborate with talented colleagues and contribute to innovative solutions that enhance customer engagement and business performance. 

As the Quant Analytics Vice President withing the card data analytics, you will lead the delivery of analytics and insights to inform strategies and drive critical business decisions related to digital marketing, customer journeys, segmentation, and targeting. You will work closely with cross-functional teams, leverage data from large SQL and AWS databases, and communicate findings to stakeholders to translate insights into measurable actions. You will partner across the credit card organization to understand business needs, create solutions, and champion analytics best practices. Your leadership will support long-term data models and facilitate holistic, cross-functional learning, ensuring high data quality and reduced redundancy. 

You will have the opportunity to collaborate with analytic and non-analytic groups, influence marketing strategy and investment decisions, and drive the adoption of best practices in data and analytics. This role is ideal for an innovative leader who thrives in a dynamic environment and is passionate about leveraging data to deliver measurable business outcomes. 

Job responsibilities 

  • Establish and foster partnerships across the organization to understand marketing objectives and business requirements 

  • Lead the creation and execution of solutions to pull and combine data from multiple sources for customer behavior analytics, campaign measurement, and reporting 

  • Analyze customer journeys, digital engagement, and campaign performance to identify actionable insights 

  • Develop and implement customer segmentation and targeting strategies to optimize marketing effectiveness 

  • Communicate insights to senior leaders via written and oral presentations, influencing marketing strategy and investment decisions 

  • Collaborate with analytic and non-analytic groups to facilitate holistic, cross-functional learning 

  • Champion data and analytics best practices across the marketing organization 

  • Translate business needs into data models supporting long-term marketing solutions 

    • Facilitate the creation of data models using best practices to ensure high data quality and reduced redundancy 

    Required qualifications, capabilities, and skills 

    • Master's degree in a relevant quantitative field (e.g., Statistics, Economics, Marketing Analytics, Mathematics, Engineering, Computer Science, or related fields) 

    • 6+ years of industry experience in marketing analytics roles (e.g., digital analytics, campaign measurement, customer insights) 

    • 6+ years of work experience across a broad range of analytics platforms, languages, and tools (Snowflake, Alteryx, SAS, Tableau, Python, Excel Pivot, etc.); hands-on experience using big data platforms required 

    • Strong communication skills with the ability to convey complex information in an understandable, compelling, and persuasive manner to business partners 

    • Innovative thinking capability to help internal clients define marketing problems, create solutions, and execute implementation 

    • Expert knowledge in quantitative methods for marketing analytics, including customer segmentation, targeting, and digital analytics 

    Preferred qualifications, capabilities, and skills 

    • Financial services experience, especially in credit card marketing analytics 

     
     

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.

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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