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Senior Quantitative Developer information

See Delaware salary details

$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:
Senior Quantitative Developer jobs near you
Senior Quant Analytics Associate - Fraud Risk

Senior Quant Analytics Associate - Fraud Risk

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 491 frontline employees who took The Breakroom Quiz

58th of 149 rated banks

Job description


If you are passionate about leveraging advanced analytics and AI to combat fraud and drive business value, we encourage you to apply!
As a Senior Quantitative Analytics Associate in our Fraud Risk team, you will help prevent plastics fraud through advanced, data-driven analysis. You'll gain a comprehensive understanding of the point-of-sale transaction lifecycle and deliver timely, efficient, and tailored solutions. You will collaborate with cross-business partners to leverage advanced analytics for fraud/scam prevention, dispute and claim management, and optimization of risk/reward tradeoffs (losses/OpEx/customer experience), with the goal of driving positive business outcomes.
Job Responsibilities
  • Analyze large datasets to detect patterns, trends, and anomalies indicative of fraudulent activity.
  • Build, develop, and maintain reporting and data automation systems to communicate insights to leadership for strategic decision-making.
  • Enhance internal analytical techniques and introduce best practices to improve key business metrics.
  • Work independently and collaboratively with cross-functional partners, from problem identification to data analysis and delivering actionable recommendations.
  • Develop and implement GenAI and Agentic AI solutions using Python to automate and optimize decision-making processes.
  • Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to improve decision-making and workflow efficiency across fraud operations and customer experience.
  • Design and demonstrate proof-of-concepts (POCs) for extracting insights from structured and unstructured data using advanced analytics; build and iterate on prototype solutions.
  • Stay current with the latest research in LLM, ML, and data science, and leverage emerging techniques for ongoing enhancement.

Required Qualifications, Capabilities, and Skills
  • Advanced degree in a quantitative discipline (e.g., Computer Science, Mathematics, Operations Research, Data Science).
  • 3+ years of experience in Risk Management or any quantitative field
  • Hands-on experience with SQL, Python, and Alteryx.
  • Strong understanding of the foundational principles and practical implementation of machine learning algorithms for anomaly detection, including clustering, classification, neural networks, distance-based, and time series methods.
  • Experience creating generative AI solutions using LLM prompt engineering and Retrieval Augmented Generation (RAG).
  • Experience with evaluation metrics for ML and generative AI.
  • Demonstrated ability to communicate complex concepts and results to both technical and business audiences.

Preferred Qualifications, Capabilities, and Skills
  • Hands-on experience with behavioral and transactional analytics tools and techniques.
  • Familiarity with model explain ability and self-validation techniques.
  • Preferred experience supporting more than one CCB Operations Function/Line of Business.

This role is not eligible for visa sponsorship. This role is 5 days a week full time in office.
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.
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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