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Quantitative Trader Jobs in Delaware (NOW HIRING)

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Quantitative Trader information

See Delaware salary details

$31K

$90.7K

$146.1K

How much do quantitative trader jobs pay per year?

As of Jul 29, 2026, the average yearly pay for quantitative trader in Delaware is $90,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,100.00 per year, depending on experience, location, and employer.

How much does a quant trader 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.

Does JP Morgan hire quants?

Yes, JP Morgan hires quantitative traders who develop and implement trading strategies using mathematical models, programming skills, and financial data analysis. These roles often require strong backgrounds in mathematics, computer science, or engineering, and familiarity with tools like Python, R, or MATLAB.

Is quant trader a high paying job?

Quantitative traders often earn high salaries due to the specialized skills required, such as advanced mathematics, programming, and data analysis. Compensation typically includes base salary, bonuses, and profit-sharing, with top performers earning significantly more, especially at large financial firms or hedge funds.

What is a Quantitative Trader job?

A Quantitative Trader is a finance professional who uses mathematical models, statistical analysis, and algorithmic strategies to identify and execute trading opportunities. They work with large datasets to develop automated trading strategies that capitalize on market inefficiencies. Quantitative Traders often collaborate with developers and researchers to optimize their models and reduce risk. Positions are typically found at hedge funds, proprietary trading firms, and investment banks. Strong programming, analytical, and risk management skills are essential for success in this role.

What are some common challenges Quantitative Traders face in their day-to-day work?

Quantitative Traders often encounter rapidly changing market conditions that require swift analytical decisions and the ability to adjust strategies on short notice. They work with large sets of financial data, which demands both technical expertise to interpret trends and creativity to develop effective trading algorithms. Collaboration with developers, researchers, and other traders is frequent to refine models and address technological or strategic challenges. Adapting to evolving regulatory requirements and managing risk exposure are also key parts of the role. Successfully navigating these challenges is essential for maximizing trading performance and maintaining a competitive edge.

What is the job of a quantitative trader?

A quantitative trader develops and implements trading strategies using mathematical models, statistical analysis, and programming skills to identify trading opportunities in financial markets. They often work with large datasets, utilize tools like Python or R, and analyze market data to make data-driven trading decisions. The role typically requires strong analytical skills, knowledge of finance, and the ability to work under pressure in fast-paced environments.

What are the key skills and qualifications needed to thrive in the Quantitative Trader position, and why are they important?

To thrive as a Quantitative Trader, you need strong mathematical, analytical, and programming skills, typically supported by a degree in mathematics, finance, engineering, or computer science. Expertise with statistical software, programming languages such as Python or C++, and familiarity with automated trading systems or financial modeling tools is highly valuable. Exceptional problem-solving ability, attention to detail, and quick decision-making are crucial soft skills in this fast-paced role. These competencies enable traders to develop data-driven strategies, manage risk effectively, and adapt rapidly to market changes for consistent profitability.

What are the most commonly searched types of Quantitative Trader jobs in Delaware? The most popular types of Quantitative Trader jobs in Delaware are:
What are popular job titles related to Quantitative Trader jobs in Delaware? For Quantitative Trader jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Quantitative Trader jobs in Delaware look for? The top searched job categories for Quantitative Trader jobs in Delaware are:
Infographic showing various Quantitative Trader 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 $90,657 per year, or $43.6 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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