Business Modeling - Applied AI ML Senior Associate
Columbus, OH, United States
JPMorgan Chase & Co.
As an Applied AI ML Senior Associate, in our Business Modeling organization, you will work on developing cutting-edge models and techniques in the Marketing, Finance, and Operations domains.
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.
- Act as a subject matter expert and trusted advisor in the statistical, optimization and/or machine learning modeling discipline.
- Contribute to the continuous learning mindset of the organization by bringing in new knowledge, ideas, and perspectives.
Required qualifications, capabilities, and skills:
- Advanced degree in Statistics, Data Science, Engineering, Computer Science, Economics, Operations Research, Mathematics or an 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, or Recommender Systems).
- Proficiency in SQL and at least one other programming language is required, such as Python.
- Strong analytical, interpretive, and problem-solving skills, with demonstrated ability of thinking outside the box.
Preferred qualifications, capabilities, and skills:
- Ph.D. is preferred
- Familiarity with big-data environments (e.g. Hadoop, Spark) and model development experience on a cloud development platform
- Banking & Financial Services background or experience.
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. For those in eligible roles, discretionary incentive compensation which may be 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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Classification Computer Science Economics Engineering Finance Hadoop Machine Learning Mathematics ML models Python Recommender systems Research Spark SQL Statistics
Perks/benefits: Career development Competitive pay Health care Wellness
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