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Ai Quant Jobs in Delaware (NOW HIRING)

The Director, AI Product Developmentispart oftheAI for Commercial (AIC) team within the newly ... Bachelor's degree in a quantitative field (Computer Science, Statistics, Engineering, Economics, or ...

As Applied AI ML Lead at Consumer & Community Banking Tech, you will drive ML and GenAI projects ... Bachelor's degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics ...

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Ai Quant information

What is an AI quant?

An AI Quant, or Artificial Intelligence Quantitative Analyst, is a professional who combines expertise in quantitative finance and machine learning to develop advanced trading strategies, risk models, or analytics tools. AI Quants use algorithms, statistical models, and large datasets to identify patterns, forecast market trends, and make data-driven investment decisions. They often work in hedge funds, investment banks, or proprietary trading firms, collaborating with software engineers and other quants to implement and optimize AI-driven financial models.

How does an AI quant typically collaborate with data scientists, traders, and software engineers within a financial institution?

AI Quants often work closely with data scientists to develop and refine machine learning models using financial data, ensuring models are statistically robust and actionable. They collaborate with traders to translate complex quantitative signals into trading strategies that are practical and aligned with market objectives. Additionally, AI Quants partner with software engineers to implement and optimize these models for real-time deployment, ensuring that the underlying code is scalable, efficient, and reliable. This cross-functional environment requires strong communication skills and adaptability, as priorities can shift with market movements and technological advancements.

What are the key skills and qualifications needed to thrive as an AI quant, and why are they important?

To thrive as an AI Quant, you need a strong background in quantitative analysis, mathematics, statistics, and machine learning, often supported by an advanced degree in a quantitative field. Proficiency in programming languages like Python or C++, experience with data analysis libraries (such as NumPy, pandas, and TensorFlow), and familiarity with financial modeling tools are typically required. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills are crucial for developing robust AI-driven trading strategies and ensuring accurate, data-driven decision-making in the fast-paced financial sector.

What is the difference between Ai Quant vs Data Scientist?

AspectAi QuantData Scientist
Required CredentialsAdvanced degrees in quantitative fields, certifications in machine learning or AIDegrees in computer science, statistics, or related fields; certifications vary
Work EnvironmentFinancial firms, hedge funds, or trading firms focusing on quantitative analysisTech companies, research labs, or any industry leveraging data analysis
Employer & Industry UsagePrimarily finance and trading industriesBroad across tech, healthcare, retail, and more
Common Search & Comparison IntentUnderstanding specialized quantitative roles in financeExploring data analysis careers across industries

Ai Quants focus on developing algorithms and models for financial markets, often requiring advanced quantitative skills and finance-specific knowledge. Data Scientists have a broader scope, applying statistical and machine learning techniques across various industries. While both roles involve data analysis and programming, Ai Quants are specialized in finance, whereas Data Scientists work in diverse sectors.

What are popular job titles related to Ai Quant jobs in Delaware?

For Ai Quant jobs in Delaware, the most frequently searched job titles are:

What cities in Delaware are hiring for Ai Quant jobs?

Cities in Delaware with the most Ai Quant job openings:

Infographic showing various Ai Quant job openings in Delaware as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 32% In-person, and 68% Remote job distribution.

Quant Analytics Manager

Wilmington, DE • On-site


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

8.0

Company rating: 8.0 out of 10

Based on 497 frontline employees who took The Breakroom Quiz

72nd of 173 rated banks

People enjoy working here

Good employer

Recommended by students


Full-time

Medical, Retirement

Re-posted 3 days ago


Job description

Job Summary

As Vice President, Quant Analytics Manager, you will lead exploratory data analysis and reporting for key partners within the Anti-Money Laundering/Know Your Customer (AML/KYC) controls organization. You will drive data-driven innovation to solve complex business problems, manage a team of Quant Analytics Data Analysts, and build strong partnerships across the CCB Data Analytics organization and other functional groups to deliver scalable, high-impact data solutions.

Key Responsibilities

  • Set the data & analytics strategy: Define and execute a roadmap that solves critical business challenges and uncovers new opportunities.
  • Lead and develop the team: Manage, coach, and grow a team of Quant Analytics Data Analysts; set priorities and uphold a culture of quality, accountability, and innovation.
  • Partner with senior stakeholders: Serve as a primary analytics point of contact for executives and cross-functional leaders, ensuring deliverables align to business needs and measurable outcomes.
  • Drive advanced analytics delivery: Provide hands-on leadership designing and delivering sophisticated analytical solutions, translating business needs into data strategies, approaches, and outputs.
  • Communicate impact clearly: Present plans, progress, and results to senior leadership with crisp narratives, actionable insights, and transparent status reporting.
  • Enable innovation and AI adoption: Stay current on analytics/AI trends; evaluate, pilot, and implement new tools and techniques (including AI agents) to improve speed, quality, and impact.
  • Optimize resources for business outcomes: Allocate capacity and resources to maximize impact and influence outcomes tied to the organization's P&L; act as a recognized technical leader.
  • Improve processes and governance: Identify and implement enhancements to processes, tooling, and governance; communicate recommendations effectively to business leaders.
  • Uphold risk and compliance standards: Operate within defined risk parameters and compliance obligations, applying strong judgment and proactively strengthening the control environment.

Minimum Requirements

  • Education: Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Data Science, or related field).
  • Experience: 8+ years of demonstrated experience delivering creative, high-impact data solutions.
  • AI enablement: Hands-on experience integrating AI agents to improve efficiency and effectiveness of analytics delivery.
  • Tools and programming: 5+ years of advanced experience with Alteryx, Python, and Tableau.
  • Data management: Proficiency in SQL and foundational data table operations; strong problem-solving skills; demonstrated understanding of data architecture design concepts.
  • Analytical and communication skills: Curious, detail-oriented, and motivated by complex analytical challenges; ability to design/evaluate metrics aligned to business goals and communicate technical concepts to varied audiences.
  • People leadership: Experience managing diverse, multi-site teams.

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.


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