Business Modeling - Applied AI ML Senior Associate

Testing Site - JPMC; Jersey City (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

Testing Site - JPMC in Jersey City is seeking an Applied AI ML Senior Associate in the Consumer Business Modeling team to apply advanced quantitative methods on one of the world’s largest consumer data repositories.

You will develop ML, optimization, and statistical models, present insights to senior management, and contribute to the modeling lifecycle while growing in a diverse, intellectually rigorous environment.

Qualifications

• Advanced degree in Statistics, Data Science, Engineering, Computer Science, Economics, Operations Research, Mathematics, or equivalent quantitative field. Ph.D. is a plus.
• 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).
• Proficiency in at least one programming language is required, with Python preferred.
• 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.

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.

Skills

Machine learning

Advanced analytics

Python

Statistics

Communication

Big data

Education

Advanced quantitative degree

Tools

Spark

Hadoop

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. Ph.D. is a plus.
• 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).
• Proficiency in at least one programming language is required, with Python preferred.
• 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.