To work alongside our top tier professionals, including data scientists, investment professionals, and marketing analytics teams, driving product innovation and identifying opportunities to incorporate machine learning into J.P. Morgan Asset & Wealth Management. Your responsibilities may include:
Performing analysis on our proprietary, unique dataset to identify new insights
Operating and proposing enhancements to the data science platform and architecture
Building prototype models with data pipelines that serve as roadmap to production
Facilitating data visualization to help drive decision making
Marketing real-world, commercial recommendations through effective presentations to various stakeholders
About You
Were looking for problem-solvers with a passion for developing innovative solutions!
Master s Degree or PhD, preferably in computer science, statistics, or other quantitative fields
Strong Industry experience in applying statistical methods to large data sets and building predictive models
Preference in participation in data science training, fellowship, or bootcamp programs
Strong programing skills and data analysis proficiency, such as Python (numpy/pandas/scikit-learn), R, Java, C++, Scala, SQL, Matlab
Experience with major deep learning libraries (e.g. TensorFlow, Torch, DeepLearning4J, etc.)
Participation in Kaggle competition or equivalent highly desirable
Strong communication skills (both verbal and written) and the ability to present findings to a non-technical audience
Experience in leading data projects independently while managing a team
Demonstrated experience in producing business and/or technical functional documentation
Understanding of financial markets preferred

Associated topics: data administrator, data engineer, data manager, data warehouse, data warehousing, database, mongo database, mongo database administrator, sybase, teradata

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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