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Senior Quantitative Developer Jobs in Delaware (NOW HIRING)

You will be using quantitative methods to assess the impact of offline and digital marketing. You ... Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing ...

Quant Analytics Manager

Wilmington, DE · On-site

$133K - $205K/yr

... senior leadership while enabling decisions and actions . * Partner with internal stakeholders and ... quantitative field with (e.g., Computer Science, Operations Research, Mathematics, Engineering ...

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Senior Quantitative Developer information

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$132K

$162.3K

$183.6K

How much do senior quantitative developer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for senior quantitative developer in Delaware is $162,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $150,268.00 and $174,687.00 per year, depending on experience, location, and employer.

How does a Senior Quantitative Developer typically collaborate with quantitative researchers and traders?

A Senior Quantitative Developer works closely with quantitative researchers to translate their mathematical models into robust, production-ready code. They also partner with traders to understand their workflow needs and ensure that trading systems are reliable, efficient, and responsive to market conditions. Effective communication is key, as the developer must bridge the gap between research insights and operational trading platforms. This collaboration often involves iterative feedback, rapid prototyping, and ongoing support to adapt systems to new strategies or market data.

What is a Senior Quantitative Developer?

A Senior Quantitative Developer is an experienced professional who combines advanced programming skills with deep knowledge of mathematical and statistical modeling to design, implement, and optimize complex financial algorithms and trading systems. They work closely with quantitative analysts and traders to translate mathematical models into efficient, production-ready code, often focusing on areas such as risk management, pricing, and market data analysis. In addition to strong coding abilities, typically in languages like C++, Python, or Java, they are expected to have expertise in financial markets, data structures, and performance optimization. Senior Quantitative Developers often mentor junior team members and contribute to the strategic direction of technology and model development within their firm.

What is the difference between Senior Quantitative Developer vs Quantitative Analyst?

AspectSenior Quantitative DeveloperQuantitative Analyst
Required CredentialsAdvanced degrees in math, finance, or computer science; programming skillsSimilar educational background; strong analytical skills
Work EnvironmentDevelops trading algorithms, implements models, collaborates with tech teamsPerforms data analysis, risk assessment, supports trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksAsset management firms, hedge funds, banks

The main difference is that Senior Quantitative Developers focus on building and implementing trading models and software, while Quantitative Analysts primarily analyze data and develop trading strategies. Both roles require strong quantitative skills, but the developer role emphasizes programming and system development, whereas analysts focus more on data analysis and research.

What are the key skills and qualifications needed to thrive as a Senior Quantitative Developer, and why are they important?

To thrive as a Senior Quantitative Developer, you need a strong background in mathematics, statistics, computer science, and financial theory, typically supported by an advanced degree in a quantitative field. Proficiency in programming languages such as Python, C++, or Java, and experience using quantitative libraries, databases, and version control systems are essential, alongside knowledge of relevant industry tools like MATLAB or R. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are crucial soft skills for this role. These abilities enable effective development and implementation of quantitative models, ensuring robust financial analysis and supporting critical business decisions.
What are the most commonly searched types of Quantitative Developer jobs in Delaware? The most popular types of Quantitative Developer jobs in Delaware are:
What are popular job titles related to Senior Quantitative Developer jobs in Delaware? For Senior Quantitative Developer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Senior Quantitative Developer jobs in Delaware look for? The top searched job categories for Senior Quantitative Developer jobs in Delaware are:
What cities in Delaware are hiring for Senior Quantitative Developer jobs? Cities in Delaware with the most Senior Quantitative Developer job openings:
Quant Analytics Card Finance Senior Associate

Quant Analytics Card Finance Senior Associate

JPMorgan Chase & Co.

Wilmington, DE • On-site

$83K - $103K/yr

Full-time

Medical, Retirement

Re-posted 13 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


Join our Credit Strategy Forecasting & Model Governance team within Consumer and Business Banking for an exciting opportunity to develop, maintain, and govern quantitative forecasting frameworks that estimate customer credit behavior and engagement over multiple years horizons.
As a Senior Associate on the Card Finance Analytics team, you will serve as a key liaison between Risk, Finance, and Analytics teams, ensuring that forecasting models are methodologically sound, well-documented, and compliant with internal governance standards. As a high-visibility role, you will have direct impact on how the business evaluates the profitability and risk of credit line management strategies. Your outputs will directly inform financial planning, investment decisions, and risk management strategies across the credit card portfolio.
Job Responsibilities
  • Build and maintain multi-year forecasting models to estimate incremental customer engagement outcomes (outstanding balances, spend, and revolving behavior) driven by credit line management actions.
  • Develop and validate step-up factor methodologies to translate Year 1 results into Year 2 and Year 3 projections using historical vintages and segmentation frameworks.
  • Design and apply control group approaches (e.g., holdouts, matched pairs) to isolate incremental impacts of credit strategies on customer behavior.
  • Incorporate recency adjustments and business judgment overlays to reflect current portfolio trends, macroeconomic conditions, and strategy changes.
  • Provide core engagement metric inputs (incremental balances, sales-to-balance, revolve rates) to Finance for multi-year NPV and PTI calculations.
  • Support trimester-based investment review processes with timely, well-documented forecasts to evaluate profitability of credit strategy decisions.
  • Partner with Finance to align methodologies, reconcile assumptions, and ensure consistency between risk forecasts and financial planning outputs.
  • Perform ongoing performance monitoring by comparing forecasts to actual outcomes across multiple horizons (Years 1-3).
  • Track forecast accuracy using standardized error metrics (e.g., NMAD, MAPE), conduct stability testing of step-up factors, and refine methodologies when thresholds are breached.
  • Maintain robust model governance, including comprehensive documentation, version control, approvals, audit readiness, and remediation of identified gaps.
  • Collaborate cross-functionally with Risk Strategy, Finance, and Analytics partners to align assumptions, present results, obtain leadership sign-off, and support knowledge transfer.

Required qualifications, capabilities and skills
  • Bachelor's or Master's degree in Statistics, Mathematics, Economics, Finance, Engineering, or a related quantitative field.
  • 4+ years of experience in credit risk analytics, multi-year financial forecasting, or model development
  • Proficiency in Microsoft Excel for financial modeling and output presentation
  • Strong proficiency in statistical and financial modeling, including time-series analysis, segmentation, and extrapolation techniques.
  • Hands-on experience with SAS and/or SQL for extracting, transforming, and summarizing large datasets from enterprise data warehouses.
  • Solid understanding of outstanding balances, revolving behavior, sales activity, and NPV and P&L frameworks.
  • Familiarity with model risk management principles, including documentation standards, performance monitoring, and independent review processes.
  • Ability to clearly articulate complex analytical findings to both technical and non-technical audiences, including senior leadership.
  • Strong commitment to data accuracy, reconciliation, and quality control in a regulated environment.
  • Demonstrated ability to work effectively across Risk, Finance, and Analytics functions in a matrixed organization.

Preferred qualifications, capabilities, and skills
  • Experience with or knowledge of credit card, lending and/or banking industries
  • Experience with Python, Tableau, Alteryx, Databricks, Essbase
  • Experience with cloud-based data platforms (e.g., Snowflake) is a plus.
  • Experience with matched-pair or propensity score matching methodologies for constructing synthetic control groups.
  • Familiarity with credit line management strategies, including proactive and customer-requested line increase programs, and their impact on customer engagement and portfolio profitability.
  • Prior experience supporting model governance reviews or working within a model risk management framework at a financial institution.

Additional Information
Applicants must be authorized to work for any employer in the U.S. We are not able to provide immigration sponsorship or take over sponsorship of an employment Visa at this time.
Final Job Grade level and corporate title will be determined at time of offer and may differ from this posting.
This role does not provide relocation assistance so all candidates must be local to the work locations listed in the job posting or willing to relocate on their own immediately upon hiring.
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.
Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.

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