JOB DESCRIPTION The Data Science and Capability team isa Center of Excellence within CCB Card Modeling focusing on ensuring that the data used in CCB Card models and strategies is of superior quality The team uses both traditional techniques and advanced techniques like Artificial Intelligence to ensure the same Team s focus is on quality and consistency of existing and current data attributes developing critical data capability that help derive actionable insight using modern tools and techniques We are looking for candidates with demonstrated extensive knowledge of data science techniques strong statistical analysis skills and expertise in logic and attention to details In this critical role the candidate will be responsible for the quality of data and attributes used in Machine Learning Models to safeguard our business and derivation of new information attributes to identify new opportunities for revenue growth and risk mitigation in card business The successful candidate must have demonstrated experience working with a wide range of stakeholders and functional teams and be able to effectively communicate results to senior management Card Risk Modeling - Data Science and Capability Team Associate Design and development of attribute library to drive consistency and improve quality of data used for machine learning models throughout the customer lifecycle acquisition account management transaction authorization and collection Work closely with the senior management team and utilize cutting-edge machine learning approaches to develop innovative attributes and machine learning modeling solutions deliver them into production Manage attribute quality testing and monitoring by leveraging modern techniques to identify data and attributes issues patterns improve attributes accuracy consistency and establish warning systems tools Evaluate the effectiveness and accuracy of new data sources and data gathering techniques Collaborate with various partners in marketing risk technology data governance and control etc throughout the entire attributing and modeling lifecycle Own quality of attributes and models developed assuring accurate and appropriate development standards and right implementation at all times Make contributions to the group s knowledge base by proposing new and creative ways for approaching analytic problems and project design Basic Qualifications Master s Phd degree from an accredited university in a quantitative field such as Computer Science Mathematics Statistics Econometrics or Engineering 6 years of experience working with large data developing or managing the development and implementation of attributes and predictive models in the credit card industry Ability to write high-quality code in traditional as well as modern platforms At least three years professional experience and proficiency in coding e g Python SAS Spark Scala or Tensorflow and big data platform e g Hadoop HDFS Teradata AWS cloud Hive Solid understanding of advanced statistical methods and advanced machine learning techniques GLM Regression Random Forest Boosting Trees neural networks clustering KNN anomaly detection simulation scenario analysis modeling etc Strong ability to understand and interpret data Advanced problem-solving skills and exceptional analytical skills Polished and clear communications with senior management Experience working with US stakeholders will be helpful Ability to deliver high-quality results under tight deadlines and be comfortable with the manipulation analysis and summarization of large quantities of data ABOUT US 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 over 200 years and today we are a leader in investment banking consumer and small business banking commercial banking financial transaction processing and asset management 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 ABOUT THE TEAM Our Consumer Community Banking division serves our Chase customers through a range of financial services including personal banking credit cards mortgages auto financing investment advice small business loans and payment processing We re proud to lead the U S in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction The CCB Data Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers The team encompasses a variety of disciplines from data governance and strategy to reporting data science and machine learning We have a strong partnership with Technology which provides cutting edge data and analytics infrastructure The team powers Chase with insights to create the best customer and business outcomes