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Machine Learning Assistant Jobs in Delaware (NOW HIRING)

Barclays

AVP, Quantitative Modeler

Wilmington, DE

$53.25 - $69/hr

... and machine learning models and analytics used in business decision-making Accountabilities ... Assistant Vice President Expectations * To advise and influence decision making, contribute to ...

JPMorgan Chase & Co.

Trade Support, Associate

Newark, DE · On-site

$16.75 - $21.75/hr

... * Assist in training and mentoring junior team members, fostering a collaborative and growth ... Skill in utilizing AI and machine learning to enhance trade service processes, driving improved ...

JP Morgan Chase

Trade Support, Associate

Newark, DE · On-site

$16.75 - $21.75/hr

... * Assist in training and mentoring junior team members, fostering a collaborative and growth ... Skill in utilizing AI and machine learning to enhance trade service processes, driving improved ...

Chase

AWM Trading Services Associate

Newark, DE

... * Assist in training and mentoring junior team members, fostering a collaborative and growth ... Capable of utilizing AI and machine learning to enhance trade service processes and improve ...

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Machine Learning Assistant information

What are the key skills and qualifications needed to thrive as a Machine Learning Assistant, and why are they important?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.

What are some common challenges a Machine Learning Assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What is a Machine Learning Assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.
What are the most commonly searched types of Machine Learning jobs in Delaware? The most popular types of Machine Learning jobs in Delaware are:
What are popular job titles related to Machine Learning Assistant jobs in Delaware? For Machine Learning Assistant jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Machine Learning Assistant jobs in Delaware look for? The top searched job categories for Machine Learning Assistant jobs in Delaware are:
What cities in Delaware are hiring for Machine Learning Assistant jobs? Cities in Delaware with the most Machine Learning Assistant job openings:
Machine Learning Assistant jobs near you
Infographic showing various Machine Learning Assistant job openings in Delaware as of May 2026, with employment types broken down into 73% Full Time, 23% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Quant Analytics Senior Associate

JPMorganChase

Wilmington, DE • On-site

Full-time

Posted 21 days ago

Job description

Job Summary:
JPMorganChase is a leading financial services firm seeking a Quantitative Data & Analytics - Senior Associate to support advanced analytics projects within the Consumer and Community Banking Data & Analytics organization. This role involves collaborating with stakeholders to drive strategic decision-making through data analysis and reporting, leveraging AI tools to enhance workflows, and mentoring junior analysts.
Responsibilities:
• Support and lead partnerships with AML KYC stakeholders and product groups, bringing a strong understanding of business drivers, underlying data, and processes to inform strategic decision-making.
• Lead the development, reporting, and visualization of performance metrics and KPIs using analytical techniques such as trend analysis, segmentation, and optimization to improve business function performance and provide management with self-service tools to explore key metrics.
• Collaborate with Area Product Owners to formulate quantifiable goals for measurement, advising on strategies and experimentation required to achieve business objectives.
• Analyze interactions across a variety of channels to better understand customer journeys, friction points, and program performance, translating findings into actionable recommendations.
• Prepare and deliver presentations summarizing sharp insights and conclusions for executives in regularly-scheduled analytics meetings chaired by the analyst in this role.
• Support the team's production reporting environment, including answering stakeholder questions, troubleshooting issues, and enhancing existing processes while ensuring compliance with established controls and regulatory requirements.
• Leverage AI-powered tools and technologies, including Large Language Models (LLMs) and assistants such as Microsoft Copilot, to improve efficiency and effectiveness. Maintain a working familiarity with AI concepts such as prompt engineering and generative AI approaches, with a curiosity and willingness to explore new applications of these tools to enhance workflows and outcomes.
• Contribute to innovation and creativity within the team by actively proposing new ideas and approaches, and mentor junior analysts while continuously exploring new areas within the larger team.
Qualifications:
Required:
• 4+ years of related experience.
• Bachelor's degree in a quantitative or related field required.
• Hands-on experience with Alteryx and Tableau.
• Familiarity with data mining, statistical modeling, machine learning and other advanced analytics methods.
• Experience delivering analytics solutions following an Agile (Scrum or Kanban) methodology.
• Collaborate with the Area Product Owners to formulate quantifiable goals for measurement; advise on strategies and experimentation required to achieve business goals.
• Able to deliver quality analytics solutions individually without much support.
• Able to make individual decisions and judgments to reach quality solutions.
• Good project management skills.
• Able to communicate effectively with Senior leaders to enable collaboration, decision-making, and transparency, with great presentation skills.
• Entrepreneurial drive, ability to analyze problems, design solutions, and communicate effectively and confidently with relevant stakeholders to influence and gain buy-in across various job functions.
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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