CCB Risk - Data Scientist Fraud Analytics -Vice President at JPMorgan Chase in Columbus, OH

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JP Morgan Chase


JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at http://www.jpmorganchase.com/.



This is a fascinating time in our industry. By now, it's a cliché that Banks will have to embrace technology and innovation if they are to thrive in the years to come. We are already bought into this and are committed to show that we can do it, and are looking for others to join. You will:





  • Work on some of the most complex problems imaginable at the intersection Big Data, Machine Learning and Fraud. Interact with insanely large and fascinating data to solve real world problems



  • Develop analytical strategies that can significantly change how fraud is managed and set the path for future


The Data Scientist in this team will use advanced analytical techniques to mitigate fraud across various payment channels such as Digital Transactions including QuickPay / QuickDeposit, Credit Card, Debit Card and Checks. They will work closely with business analysts, product owner and operations to find tangible opportunities to prevent fraud, enhance customer experience and provide insights which will allow us to assess the risk of portfolio in several dimensions


Will help build a foundation of state-of-the-art technical and scientific capabilities to support a number of ongoing and planned data analytics projects:



  • Build an in-depth understanding of the fraud space and available data assets

  • Research, design, implement, and evaluate machine learning approaches and models

  • Perform ad-hoc exploratory statistics and data mining tasks on diverse datasets from small scale to "big data"

  • Investigate data visualization and summarization techniques for conveying key findings

  • Participate in data architecture and engineering decision-making to support analytics

  • Communicate findings and obstacles to stakeholders to help drive the delivery to market

  • Code your solutions (this is a hands-on position requiring strong programming skills)

  • Coach junior data scientists in the team





    • 5+ years of experience leading the development of data science projects and coordinating the activities of small teams with deep technical and analytical skills



    • 2+years of professional experience as a data scientist or a related analytical role



    • Minimum Master's Degree with preferred concentrations in Mathematics, Statistics, Computer Science, Physical Science, Engineering or other quantitative discipline. Doctoral degree preferred.


    • Thorough understanding of probability and statistics, Bayesian methods, time series analysis

    • Expertise in theory and practice of Statistics, Empirical Data Analysis and Machine Learning

    • Experience and in-depth knowledge of Python and other modern programming languages

    • Experience in at least one specialized statistical computing environment, preferably R

    • Experience in practical data processing, data mining, text mining and information retrieval tasks

    • Knowledge of Python's data analysis and machine learning libraries a strong plus

    • Great communication skills, team player, self-starter, self , demonstrated strong work ethic

    • Desire to use modern technologies as a disruptive influence within the Banking domain

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