Business Modeling - Applied AI ML Senior Associate

J.P. Morgan; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

J.P. Morgan is seeking an Applied AI ML Senior Associate within the Consumer Business Modeling team in New York. You will apply advanced analytics and ML techniques to solve complex business problems using one of the world’s largest consumer data repositories.

The role requires outstanding communication, experience with ML/statistical models, and strong programming skills (Python preferred). You will contribute to the full modeling lifecycle and mentor junior team members in a collaborative,

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 influence stakeholders.
• Experience in developing machine learning, optimization, and/or statistical models to solve real world problems (e.g. Classification, Regression, Recommender Systems, NLP, or Neural Language Modeling).
• Proficiency in at least one programming language is required, with Python preferred.
• Strong analytical, interpretive, and problem-solving skills with ability to think outside the box.
• Significant experience working with very large scale (structured and unstructured) data.

Responsibilities

• Apply advanced analytics to solve complex business problems.
• Generate deep insights from data and translate them into actionable recommendations.
• Contribute to the full modeling lifecycle: define objectives, choose methodologies, analyze data, and communicate results.
• Develop presentations to summarize key messages to senior management and sponsors.
• Become a subject matter expert in statistical, optimization and/or ML modeling.
• Contribute ideas to foster continuous learning within the organization.
• Mentor junior team members.

Skills

Python

communication

big data

Education

Advanced degree in statistics/data science/engineering

Ph.D. preferred

Tools

Hadoop

Spark

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.
• 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.

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