Chase Modeling - Applied AI ML Senior Associate

Chase Modeling - Applied AI ML Senior Associate

JPMorgan Chase & Co.

Chicago, IL • On-site

$118.75K - $185K/yr

Full-time

Medical, Retirement

Posted 16 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 466 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Job Description
Join a team that consists of an intellectually diverse team of economists, statisticians, engineers, and other analytics professionals, focused on applied AI and quantitative modeling.
As an Applied AI ML Senior Associate, within the Consumer Business Modeling team you will utilize cutting edge quantitative and computational techniques and leverage one of the world's largest repositories of consumer data.
Job Responsibilities:
  • Apply critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems.
  • Generate deep insights through the analysis of data and understanding of business processes and turn them into actionable recommendations.
  • Contribute to the full modeling lifecycle, including defining the objective and key decision variables, choosing appropriate methodologies, performing advanced quantitative and statistical analysis of large datasets, and communicating results.
  • Develop presentations to summarize and communicate key messages to senior management, sponsors and colleagues.
  • Become a subject matter expert and trusted advisor in the statistical, optimization and/or machine learning modeling discipline.
  • Actively contribute to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group.

Required Qualifications, Capabilities, and Skills:
  • Advanced degree in Statistics, Data Science, Engineering, Computer Science, Economics, Operations Research, Mathematics, or equivalent quantitative field.
  • Outstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders.
  • Experience in developing machine learning, optimization, and/or statistical models to solve real world problems (e.g. Classification, Regression, Recommender Systems, Natural Language Processing, or Neural Language Modeling).
  • Strong analytical, interpretive, and problem-solving skills, with demonstrated ability of thinking outside the box.
  • Significant experience working with very large scale (structured and unstructured) data.

Preferred Qualifications, Capabilities, and Skills:
  • Familiarity with big-data environments (e.g. Hadoop, Spark).
  • Model development experience on a cloud development platform.
  • Banking & Financial Services background or experience.
  • Proficiency in at least one programming language is required, with Python preferred.
  • Ph.D. is a plus.

About Us
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
About the Team
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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Frequently asked questions

Q: What skills or qualities help someone succeed as a Senior Data Scientist?

A: To succeed as a Senior Data Scientist, key technical skills include expertise in machine learning algorithms, statistical modeling, and programming languages such as Python or R, as well as proficiency in data visualization tools like Tableau or Power BI. Additionally, strong soft skills like effective communication, collaboration, and leadership abilities are crucial for guiding cross-functional teams and presenting complex data insights to stakeholders. By combining technical expertise with strong interpersonal skills, Senior Data Scientists can drive business growth, inform strategic decisions, and advance their careers through leadership opportunities and industry recognition.

Q: What is the career path for a Senior Data Scientist?

A: A Senior Data Scientist's typical career progression involves starting as a Data Analyst or Junior Data Scientist, progressing to a Data Scientist or Senior Data Analyst role, and eventually becoming a Senior Data Scientist or Lead Data Scientist. Key opportunities for skill development and growth include mastering advanced machine learning techniques, deep learning, and programming languages such as Python and R, as well as developing expertise in data visualization, statistical modeling, and data engineering. Long-term career prospects for Senior Data Scientists may include transitioning into leadership roles, such as Director of Data Science or Chief Data Officer, or pursuing specialized roles like Data Product Manager or AI/ML Engineer.



JPMorgan Chase & Co. job posting for a Chase Modeling - Applied AI ML Senior Associate in Chicago, IL with a salary of $118,750 to $185,000 Annually and benefits including Medical and Retirement with a map of Chicago location.