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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 ...

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Senior Quantitative Developer information

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$132K

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$183.6K

How much do senior quantitative developer jobs pay per year?

As of Aug 7, 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?

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 Quant Analytics Associate - Fraud Risk

JPMorgan Chase & Co

Wilmington, DE • Hybrid

Full-time

Medical, Retirement

Re-posted 3 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks


Job description

We are looking for a highly skilled and experienced Analyst to join our Point-of-Sale Fraud Risk Analytics & Intelligent Reporting team. In this role, you will focus on developing analytical insights into the strategies employed by our risk partners to identify and mitigate fraud. You will be responsible for creating, automating, and deploying intelligent solutions that address the reporting and analytical needs of the business line. Additionally, you will ensure that compliance and control requirements are met, providing timely and reliable information to the appropriate audience.

As a Quantitative Analytics Associate Senior in the Point-of-Sale Fraud Risk Analytics & Intelligence team, you will play a pivotal role in identifying and anticipating new and emerging risks and trends. You will collaborate with key stakeholders to assess risk factors and apply your expert judgment to address challenges that affect our company, customers, and communities. Our culture in the Risk Management and Fraud Center of Excellence emphasizes innovative thinking, challenging the status quo, and striving to be best-in-class.

Job Responsibilities

  • Analyze large volumes of complex data to formulate problem statements and draw concise conclusions about underlying risk dynamics, trends, and opportunities.
  • Identify and develop key risk indicators and metrics, enhance existing reporting mechanisms, and explore new analytical areas to improve fraud detection.
  • Work closely with cross-functional partners to understand and address key business challenges.
  • Exhibit exceptional communication skills, both written and verbal, to effectively communicate with diverse audiences, including senior leadership.
  • Demonstrate the ability to work independently, taking ownership of problem-solving from start to finish.
  • Collaborate with Product Risk managers and other stakeholders to support the development and monitoring of new strategies and products.

Required Qualifications, Capabilities and Skills

  • 5+ years experience in analytics, business intelligence, business analysis, strategy & analytics, or a related role.
  • Strong SQL skills and experience working with large datasets, including the ability to validate results and troubleshoot data issues.
  • Strong financial analytical skills with the ability to extract business insights from complex data structures.
  • Experience building dashboards and recurring reports, and communicating insights to non-technical stakeholders.
  • Demonstrated project management skills-able to manage timelines, dependencies, and stakeholder communications across multiple workstreams.
  • Ability to work in a fast-paced environment and flexibly adapt to change, with excellent analytical storytelling skills.
  • Strong written and verbal communication skills; able to turn ambiguous questions into structured problem statements and requirements.
  • High attention to detail and comfort operating in a controlled environment with data governance and privacy expectations.

Preferred Qualification, Capabilities and Skills

  • 3+ years of hands-on experience in Financial Data analytics 
  • Python programming skills
  • Familiarity with data mining and other advanced analytics techniques

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

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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