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Machine Learning Assistant Jobs in Delaware (NOW HIRING)

Trading Services Associate I

Newark, DE · On-site

$15.50 - $20.50/hr

Trading Services Associate in Securities Operations Are you ready to make an impact in a dynamic, global environment? Join our Markets Asset Services team and help shape the future of asset servicing.

... machine learning/AI. * Through data-driven analysis, translate analytical findings into actionable ... Assistant Vice President Expectations * To advise and influence decision making, contribute to ...

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Machine Learning Assistant information

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 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 the most commonly searched types of Machine Learning jobs in Delaware? The most popular types of Machine Learning jobs in Delaware 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:
Quant Analytics Senior Associate

Quant Analytics Senior Associate

JP Morgan Chase

Wilmington, DE • On-site

Full-time

Medical, Retirement

Re-posted yesterday


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 487 frontline employees who took The Breakroom Quiz

55th of 146 rated banks


Job description

At JPMorgan, we are not merely seeking job applicants. We are in search of team members who are eager to effect change and make a significant impact! 

 As an Quantitative Data & Analytics - Senior Associate within the Consumer and Community Banking Data & Analytics organization, you will be tasked with the responsibility of supporting advanced analytics projects across various AML KYC operational functions, channels, and products.

Job 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.

Required Qualifications, Skills and Capabilities:

  • 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.

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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