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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 Jun 23, 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

Data Science Senior Associate - Card Data & Analytics team

JPMorganChase

Wilmington, DE • On-site

Full-time

Posted 6 days ago

Job description

Job Summary:
JPMorganChase is a leading financial services firm, and they are seeking a Data Science Senior Associate for their Card Data & Analytics team. The role involves developing AI/ML solutions to drive the Credit Card business, utilizing data analytics and programming to support strategic initiatives and deliver actionable insights.
Responsibilities:
• Leverage experience and analytical skills to uncover novel use cases of Big Data analytics, including opportunities to responsibly apply foundation models and Generative AI.
• Drive data science and analytics strategies, including recommendations on analytical products and standards.
• Help partners define business problems and scope analytical solutions.
• Build an understanding of problem domains and available data assets.
• Research, design, implement, and evaluate analytical approaches and models, including GenAI-based methods.
• Perform exploratory statistics and data mining tasks on diverse datasets.
• Communicate findings and obstacles to stakeholders to drive delivery to market.
• Develop subject matter expertise in financial and operational domains.
• Code solutions with strong programming skills.
• Collaborate across teams to deliver the best solutions for clients.
Qualifications:
Required:
• Bachelor's degree in a relevant quantitative field and 3+ years of data analytics experience, or advanced degree and 2+ years of experience.
• Exceptional analytical, quantitative, problem-solving, and communication skills.
• Intellectual curiosity for solving business problems.
• Leadership and collaboration skills.
• Knowledge of statistical software (e.g., Python, R, SAS) and data querying languages (e.g., SQL).
• Familiarity with GenAI and prompt engineering basics (prompt design, evaluation, guardrails).
• Experience with modern analytics tools (e.g., SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx).
• Ability to convey complex information to technical and non-technical audiences.
Preferred:
• Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM quality, cost, and latency.
• Understanding of key drivers within the credit card P&L.
• Financial services background preferred.
• M.S. degree or equivalent.
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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