Business Modeling Applied AI ML Senior Associate

Columbus - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

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 worlds 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.
Mentor junior team members.

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.

Required Experience:

Senior IC

DescriptionJoin 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...

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.

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.
Mentor junior team members.

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.

Required Experience:

Senior IC

Key Skills

SQL
Financial Services
Intake Experience
Power BI
R
Pivot tables
Tableau
Usability
Quantitative Analysis
Financial Analysis
Exercise Planning
SAS

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About Company

JPMorganChase

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more

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