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Quantitative Trading Jobs in Delaware (NOW HIRING)

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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 Jul 28, 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 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.

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, and many traders use programming skills and financial models to optimize returns.

What jobs make $1,000,000 a year?

In quantitative trading, senior roles such as hedge fund managers, proprietary traders, and quant fund founders can earn over $1 million annually through a combination of salary, bonuses, and profit sharing. Success in these roles typically requires advanced quantitative skills, experience, and a strong track record of generating profits in financial markets.

What do quantitative traders do?

Quantitative traders develop and implement trading strategies using mathematical models, statistical analysis, and programming skills. They analyze large data sets to identify trading opportunities and often use tools like Python, R, or MATLAB to automate trades and manage risk in 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.

What is a quantitative trading job?

A quantitative trading job involves developing and implementing trading strategies using mathematical models, statistical analysis, and programming skills. Professionals in this role often work with large datasets, employ tools like Python or R, and require strong analytical and problem-solving abilities to optimize trading performance in financial markets.

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 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 July 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 74% Physical, 4% Hybrid, and 22% Remote job distribution, with an average salary of $169,875 per year, or $81.7 per hour.
Quant Analytics Manager

Full-time

Medical, Retirement

Posted 2 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 492 frontline employees who took The Breakroom Quiz

70th of 170 rated banks


Job description

The Small Business Card Analytics team is a strategic partner to the Small Business Card line of business (LOB), leveraging data and analytics to accelerate growth and deliver actionable insights that shape marketing strategies and portfolio management. The team works closely with business partners to enable informed, data-driven decisions and continuous improvement across the Small Business Card portfolio (per role description provided).

As a Vice President and Quant Analytics Manager within the Card Data & Analytics (D&A) organization, you will lead advanced analytics work, including ad-hoc deep dives, financial assessments and portfolio performance analysis. A key focus of the role is serving as a subject matter expert in digital data, applying digital analytics, visualization, and workflow tools such as Adobe Analytics to understand and influence customer behaviors, enabling the team to deliver innovative, digitally informed strategies. This role partners directly with business stakeholders across marketing, product and finance to deliver data-driven strategies, insights, and portfolio decisions.

Key Responsibilities

  • Provide thought leadership and technical expertise in advanced analytics, including predictive modeling, clustering and machine learning. 
  • Serve as a subject matter expert in digital data, and analyze and visualize digital customer behaviors to translate engagement patterns into insights that shape marketing strategy and product innovation.
  • Manage and analyze large, complex datasets from multiple sources, connecting customer behaviors across spend, payment, engagement, and digital interactions to actionable strategies that improve profitability and performance .
  • Deliver tactical and strategic insights across marketing, sales, finance, and related business functions using modern visualization and reporting tools, with an emphasis on executive-ready narratives and decision support .
  • Diagnose data quality issues and statistical anomalies, identify process improvement opportunities, and strengthen repeatability and controls across analytics workflows and reporting outputs .
  • Own program management, process development, and stakeholder communications with limited oversight, ensuring timelines, dependencies, and outcomes are clearly managed and transparent .
  • Coach and mentor junior team members, establishing high standards for analytical rigor, documentation, and business relevance while building a collaborative and high-performance culture .
  • Communicate complex analytical results clearly to diverse audiences, tailoring content and level of detail to business partners and senior leadership while enabling decisions and actions .
  • Partner with internal stakeholders and leaders across the Consumer & Community Banking (CCB) organization to align analytics priorities to business strategy, and collaborate with data owners to influence data models and analytics architecture .

Required Qualifications, Capabilities, and Skills

  • Masters or Bachelors degree in a quantitative field with (e.g., Computer Science, Operations Research, Mathematics, Engineering, Econometrics, Statistics, or related discipline) with 5+ years of relevant experience .
  • Demonstrated experience with digital analytics, visualization, and data workflow tools, including Adobe Analytics .
  • Proven ability to serve as a digital data subject matter expert, including analyzing and visualizing digital customer behaviors and translating findings into business recommendations .
  • Strong hands-on experience with data mining, analytical methods, and implementation of analytics into business strategy and execution .
  • Proficiency in analytical languages (e.g., Python, SAS, R) and experience with Big Data technologies such as Snowflake and Databricks .
  • Advanced SQL capability and experience working with relational databases, including building reproducible datasets and performing quality checks aligned to business use .
  • Experience with dynamic and interactive reporting tools (e.g., Alteryx, Tableau) and the ability to create stakeholder-friendly dashboards and reporting assets .
  • Exceptional interpersonal skills and a consulting orientation, including the ability to influence stakeholders at all levels and communicate complex quantitative concepts in plain business language .
  • Track record of delivering analytics and insights to multiple levels of management with clear linkages to performance outcomes and business decisions .

Preferred Qualifications, Capabilities, and Skills

  • Demonstrated ability to influence prioritization and decisions through structured analytics storytelling, crisp recommendations, and well-supported trade-offs .
  • Experience working with cross-functional partners across marketing, product, finance, and risk to deliver measurable outcomes .
  • Experience developing executive-ready dashboards and performance measurement frameworks for marketing and portfolio analytics, with consistent KPI definitions and governance .
  • Evidence of identifying, scaling, and institutionalizing process improvements that enhance data quality, repeatability, and reporting efficiency, including documentation and stakeholder adoption .

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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