Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
As a Applied AI/ML Senior Associateat JPMorgan Chase within the Asset & Wealth Management, you will apply your quantitative, data science, and analytical skills to complex problems. You will collaborate with various teams to design and develop data science solutions, maintaining a deep understanding of the business problem. Your responsibilities will include data wrangling, data analysis, and modeling. You will advise on optimal solutions and provide insights on challenger models. You will be involved in strategic projects across the firm, making a significant impact at a leading financial services firm. Your role will be pivotal in developing data-centric solutions that enhance the firm's bottom line.
Job responsibilities
Engages with stakeholders and understanding business requirements
Develops AI/ML solutions to address impactful business needs
Works with other team members to productionize end-to-end AI/ML solutions
Engages in research and development of innovative relevant solutions
Documents developed AI/ML models to stakeholders
Coaches other AI/ML team members towards both personal and professional success
Collaborates with other teams across the firm to attain the mission and vision of the team and the firm
Required qualifications, capabilities, and skills
Formal training or certification on Data Science concepts and 3+ years applied experience
Experience in the application of AI/ML to a relevant field
Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised
Strong experience in natural language processing (NLP) and its applications
Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects
Experience in working on Spark, Hive, and SQL
Preferred qualifications, capabilities, and skills
Financial service background
PhD/Masters in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research)
