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Quantitative Trading Jobs in Delaware (NOW HIRING)

What You'll Do * Assist with project procurement strategy, trade partner solicitation, quantitative take-offs, and general conditions development. * Manage designers and design/procurement completion ...

$108K - $142K/yr

Communicate product decisions and trade-offs clearly to stakeholders and delivery partners Required ... Ability to use qualitative and quantitative inputs to inform product decisions * Developing ...

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Quantitative Trading information

See Delaware salary details

$98.1K

$169.9K

$259.7K

How much do quantitative trading jobs pay per year?

As of Sep 14, 2026, the average yearly pay for quantitative trading 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 quantitative trading?

Quantitative trading refers to the use of mathematical models, algorithms, and statistical techniques to identify and execute trading opportunities in financial markets. Quantitative traders, often called 'quants,' analyze large datasets to develop strategies that can be automated for buying and selling securities. This approach relies heavily on computer programming, data analysis, and financial theory to make systematic, data-driven trading decisions. Quantitative trading is commonly used by hedge funds, investment banks, and proprietary trading firms to gain an edge in the markets.

How does a quantitative trader typically collaborate with software engineers and data scientists within a trading firm?

Quantitative traders work closely with software engineers and data scientists to develop, test, and optimize trading algorithms. Traders often define the strategy and specify the data requirements, while engineers build and maintain the trading infrastructure, and data scientists assist with advanced statistical analysis and machine learning models. Effective communication and a collaborative approach are crucial, as these teams must integrate their expertise to ensure strategies are both profitable and technically robust. Regular meetings, code reviews, and joint problem-solving sessions are common practices in this collaborative environment.

What are the key skills and qualifications needed to thrive as a quantitative trader, and why are they important?

To thrive as a Quantitative Trader, you need a strong background in mathematics, statistics, and financial theory, typically supported by a degree in a quantitative field such as mathematics, physics, computer science, or engineering. Expertise in programming languages like Python, C++, and R, as well as familiarity with trading platforms and statistical analysis tools, is essential. Critical thinking, attention to detail, and the ability to work under pressure are standout soft skills in this role. These skills are crucial for developing, testing, and executing profitable trading strategies in fast-moving financial markets.

What is the difference between Quantitative Trading vs Quantitative Research?

AspectQuantitative TradingQuantitative Research
Primary FocusDeveloping and executing trading strategies to generate profitsCreating models and theories to understand markets and inform trading
Work EnvironmentFast-paced, real-time decision making in trading firms or hedge fundsResearch-oriented, often academic or laboratory setting
Required CredentialsStrong quantitative skills, programming, finance knowledge; often degrees in math, finance, or engineeringAdvanced degrees (Masters/PhD) in math, physics, or related fields; research experience

Quantitative Trading focuses on applying quantitative models to make trading decisions and generate profits in real-time markets. Quantitative Research emphasizes developing and testing models to understand market behavior, often serving as a foundation for trading strategies. While both roles require strong quantitative skills and programming, trading roles are more execution-focused, whereas research roles are more theoretical and exploratory.

How much do quantitative traders make?

Quantitative traders typically earn a base salary ranging from $100,000 to $200,000 annually, with total compensation often exceeding $300,000 when including bonuses and profit sharing. Compensation varies based on experience, firm size, and performance, with successful traders earning significantly more through performance-based incentives.

What do you do as a quantitative trader?

A quantitative trader develops and implements trading strategies using mathematical models, statistical analysis, and programming skills. They analyze large data sets to identify trading opportunities, often using tools like Python, R, or MATLAB, and work in fast-paced financial environments to execute trades based on algorithmic signals.

What are popular job titles related to Quantitative Trading jobs in Delaware?

For Quantitative Trading jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Quantitative Trading jobs in Delaware look for?

The top searched job categories for Quantitative Trading jobs in Delaware are:

What cities in Delaware are hiring for Quantitative Trading jobs?

Cities in Delaware with the most Quantitative Trading job openings:

Infographic showing various Quantitative Trading job openings in Delaware as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution, with an average salary of $169,875 per year, or $81.7 per hour.

Quant Analytics Manager - Vice President - Chase Auto Pricing

Wilmington, DE • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees

Other

Posted 2 days ago

New


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz


Job description

Shape how we price our products and see your work translate directly into smarter growth and stronger performance.You will combine rigorous analytics with practical business judgment to turn complex results into executive-ready actions. If you enjoy partnering across teams, designing experiments, and guiding decisions with evidence, this role offers broad visibility and impact.

As a Vice President, Pricing Analytics in the Pricing team, you will provide pricing analysis and strategic recommendations that support volume growth and profitability through data-driven insights. You will work closely with us in Finance Modeling to align on pricing assumptions and financial impacts, and you will design and execute pricing experiments to improve pricing effectiveness. You’ll thrive here if you bring strong statistical and experimentation skills, and you can translate technical findings into clear, actionable recommendations for senior leaders.

Job responsibilities:
  • Develop pricing strategy:Support near-term and long-term pricing strategies informed by competitive dynamics, customer behavior, and business objectives.
  • Deliver pricing analytics & recommendations:Perform profitability/volume trade-off analysis and propose pricing actions grounded in data and sound statistical methods.
  • Partner with Finance Modeling:Act as a bridge between Pricing and Finance Modeling to align pricing assumptions, modeling inputs, and performance expectations.
  • Testing:Design and analyze pricing tests (e.g., random price testing, A/B or test/control designs), including hypothesis testing, bootstrapping, regression, and measurement frameworks.
  • Optimization & scenario analysis:Run optimization and “what-if” scenarios to recommend pricing actions that balance margin and growth targets.
  • Evolve pricing frameworks:Leverage historical test results and experimentation learnings to strengthen pricing methodologies and improve future decision-making.
  • Executive-ready communication:Create concise datasets, reporting, and presentations that synthesize insights into clear recommendations for senior management.
Required qualifications, capabilities, and skills:
  • 7+ years of experience in finance, analytics, pricing, or a related quantitative role
  • Bachelor's degree in Finance, Economics, Statistics or related field
  • Strong analytical and quantitative problem-solving skills; ability to diagnose drivers of profitability and performance
  • Working knowledge of analytical/statistical techniques (e.g., regression, hypothesis testing, sampling/bootstrapping, experimental analysis)
  • Strong communication skills with the ability to translate analytics into crisp, actionable business conclusions
  • Highly organized with attention to detail; able to manage multiple priorities under tight deadlines
  • Proficiency with Excel and PowerPoint
  • Experience with at least one analytics tool/language (e.g., SQL, SAS, Alteryx, or similar)
Preferred qualifications, capabilities, and skills:
  • Master’s/MBA
  • Programming skills
  • Experience in the Auto Finance Industry
Additional Information

To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT). This role is not eligible for relocation assistance.

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