JPMorgan Chase (JPMC) is a leading global financial services firm with assets of $2 trillion and operations in more than 60 countries. It is on the transformation journey to be a client-centric technology driven company over the last few years. With an annual tech budget of $10B+, it has started significantly investing and building in the next generation core infrastructure, data and AI technology.
The Chief Technology Office within JPMorgan Chase & Co. is responsible for the evolution of modern, efficient development practices and tooling for an optimal engineer experience.
As the next push into this investment, JPMC is hiring the best talents to join the newly-formed Chief Technology Office Enterprise Integration Services Group. We are building the next generation technology that combines JPMC unique data and full service advantage to develop high impact AI applications and platforms in the financial services industry. We are looking for people who are excited about the opportunity.
·Experience across broad range of modern data science and analytics tools (e.g., R, SQL, STATA, NoSQL, Hive, Hadoop, Spark, Python);
·Experience with big-data technologies such as Hadoop, Spark, SparkML, etc
·Advanced data mining and EDA (Exploratory Data Analysis) skills
·8+ years’ experience with machine learning APIs and computational packages (examples: TensorFlow, LightGBM, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, H2O, SHAP, Catboost)
·Proficiency in visualization tools such as Looker, Domo, Tableau, Cognos, Power BI, and similar tools required;
·Able to understand various data structures and common methods in data transformation
·Excellent pattern recognition and predictive modeling skills
·Experience with large imbalanced datasets