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Physics Informed Machine Learning Jobs in Delaware

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Physics Informed Machine Learning information

What are the key skills and qualifications needed to thrive in the Physics Informed Machine Learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are the typical challenges faced by professionals working in Physics Informed Machine Learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What is a Physics Informed Machine Learning job?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are popular job titles related to Physics Informed Machine Learning jobs in Delaware? For Physics Informed Machine Learning jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Delaware look for? The top searched job categories for Physics Informed Machine Learning jobs in Delaware are:
What cities in Delaware are hiring for Physics Informed Machine Learning jobs? Cities in Delaware with the most Physics Informed Machine Learning job openings:
Infographic showing various Physics Informed Machine Learning job openings in Delaware as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Quant Analytics Manager

Full-time

Medical, Retirement

Posted 15 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

57th of 149 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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