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Applied Math Degree Jobs in Delaware (NOW HIRING)

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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Showing results 21-40

Applied Math Degree information

See Delaware salary details

$22.5K

$58.9K

$94.6K

How much do applied math degree jobs pay per year?

As of Aug 7, 2026, the average yearly pay for applied math degree in Delaware is $58,888.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $70,100.00 per year, depending on experience, location, and employer.

Is applied math in demand?

Applied math degrees are in demand across industries such as finance, data analysis, engineering, and technology, where skills in modeling, statistics, and programming are valued. Professionals with applied math expertise often find opportunities in research, analytics, and data-driven roles, with employment prospects continuing to grow as data utilization expands.

What is the difference between Applied Math Degree vs Data Analyst?

AspectApplied Math DegreeData Analyst
Required CredentialsBachelor's in Applied Math or related fieldBachelor's in Statistics, Math, or related field
Work EnvironmentResearch, academia, finance, engineeringBusiness, finance, healthcare, tech companies
Employer & Industry UsageUniversities, research labs, industries needing quantitative analysisCorporations, consulting firms, government agencies

Applied Math degrees focus on mathematical modeling and problem-solving across various industries, often involving research and theoretical work. Data Analysts primarily interpret data to help organizations make informed decisions, using statistical tools and software. While both roles require strong math skills, Applied Math graduates often pursue research or specialized roles, whereas Data Analysts work directly with data to generate insights in business settings.

Is an applied math degree useful?

An applied math degree is useful for careers in data analysis, finance, engineering, and technology, as it provides strong problem-solving, analytical, and quantitative skills. Graduates often find employment in industries that require modeling, statistical analysis, and computational tools, making the degree versatile and valuable across many fields.

What jobs do you get with applied math degree?

An applied math degree can lead to careers such as data analyst, operations researcher, financial analyst, actuary, or software developer. These roles often require strong analytical, problem-solving, and programming skills, and may involve working with statistical software or modeling tools. Job opportunities are available across industries including finance, technology, healthcare, and government agencies.
What are popular job titles related to Applied Math Degree jobs in Delaware? For Applied Math Degree jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Applied Math Degree jobs in Delaware look for? The top searched job categories for Applied Math Degree jobs in Delaware are:
Infographic showing various Applied Math Degree job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $58,888 per year, or $28.3 per hour.

Applied AI/ML - Vice President

Aumni

Wilmington, DE โ€ข On-site

$120 - $160/hr

Other

Medical, Retirement

Posted 2 days ago

New


Job description

This is a unique opportunity to apply your skills and leadership in a dynamic environment, directly impacting the future of Home Lending through innovative AI/ML solutions. You will be at the forefront of technology, shaping the next generation of intelligent products and services at JPMorgan Chase.

As Applied AI ML Lead at Consumer & Community Banking Tech, you will drive ML and GenAI projects, leveraging expertise to deliver innovative solutions.

Job responsibilities
  • Work with product managers, data scientists, ML engineers, and other stakeholders to understand requirements.
  • Design, develop, and deploy state-of-the-art AI/ML/GenAI solutions to meet business objectives.
  • Architect and implement robust, cloud-native MLOps/LLMOps pipelines and distributed AI/ML infrastructure (AWS, Azure, GCP) for scalable, efficient deployment and monitoring of models in production.
  • Direct the development and deployment of advanced generative AI solutions (LLMs, RAG, NLP, AI Agents) and classical ML models, integrating state-of-the-art techniques into the ML platform to create innovative fintech products.
  • Develop advanced monitoring and management tools to ensure high reliability and scalability of AI/ML systems.
  • Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency.
  • Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
  • Communicate AI/ML capabilities and results to both technical and non-technical audiences.
  • Build AI Agents and chatbot.
  • Stay informed about the latest trends and advancements in AI/ML research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.
Required qualifications, capabilities, and skills
  • Bachelorโ€™s degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science.
  • 5+ years of experience in Machine Learning and Artificial Intelligence engineering.
  • Experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine learning models in production.
  • Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API.
  • Extensive handsโ€‘on technical experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikitโ€‘learn, AWS Bedrock, Transformers, LangChain/LngGraph.
  • Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), orchestration tools (Airflow, FastAPI, etc.) and architectural design, implementation, and performance optimization.
  • Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, deep learning, reinforcement learning), and generative model architectures.
  • Expert in Large Language models (OpenAI, Anthropic, Mistral, etc) including fineโ€‘tuning models, prompt engineering, embeddings and context window.
  • Strong collaboration skills to work effectively with crossโ€‘functional teams, communicate complex concepts, and contribute to interdisciplinary projects.
Preferred qualifications, capabilities, and skills
  • Familiarity with the financial services industries.
  • Expertise in designing and implementing pipelines using Retrievalโ€‘Augmented Generation (RAG).
  • Handsโ€‘on knowledge of Chainโ€‘ofโ€‘Thoughts, Treeโ€‘ofโ€‘Thoughts, Graphโ€‘ofโ€‘Thoughts prompting strategies.
  • Familiarity with ethical AI, including bias mitigation, explainability and escalation protocols for risky outputs.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the worldโ€™s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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 commissionโ€‘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, onโ€‘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 applicantsโ€™ and employeesโ€™ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.

Our Consumer & Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and nonโ€‘profits. Youโ€™ll support the delivery of awardโ€‘winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cuttingโ€‘edge mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers. You will drive ML and GenAI projects, leveraging expertise to deliver innovative solutions.

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