Leverage modern data science/analytics techniques to mine large amounts of complex data (1 B records) stored in big data environments such as Hadoop and AWS, spanning multiple sources and lines of business, to develop and implement new attributes and insights for use across risk management and fraud Analyze new and existing attributes to identify areas of opportunity to drive incremental revenue, decrease expenses, and/or reduce losses across CCB Risk, and improve operational efficiency Partner ... more details
Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.
As a Senior Data Scientist - Vice President in Chase 360, you will leverage cutting-edge big data analytics techniques and tools to develop new attributes for usage across Chase Consumer and Community Bank (CCB) Risk function, provide insights to emerging risks, and develop innovative methods for quantifying credit and fraud risk. This includes the creation of new attributes from large, complex datasets; analysis of attributes to ensure they provide incremental benefit beyond current strategies and models; partnership with stakeholders to facilitate adoption of the attributes by the lines of business; and supporting executive requests with respect to cross lines of business consumer and business financial health. You will have frequent interaction and communication with cross-functional partners and presentation to managers and executives. You will excel at creative thinking and problem solving, be self-motivated, confident and ready to work in a fast-paced energetic environment.
Job Responsibilities:
Leverage modern data science/analytics techniques to mine large amounts of complex data (1B+ records) stored in big data environments such as Hadoop and AWS, spanning multiple sources and lines of business, to develop and implement new attributes and insights for use across risk management and fraud
Analyze new and existing attributes to identify areas of opportunity to drive incremental revenue, decrease expenses, and/or reduce losses across CCB Risk, and improve operational efficiency
Partner with stakeholders to drive implementation of Chase 360 attributes into line of business strategies and models for risk management and fraud mitigation
Learn and adopt new techniques for solving new business challenges such as Graph analytics, Natural Language Processing and Automation
Provide subject matter expertise support to teammates and stakeholders to ensure Chase 360 attributes are appropriately interpreted and utilized across the business
Deliver clear/concise oral and written communication across various functions and levels, inclusive of stakeholder peers and senior leaders throughout CCB Risk
Required qualifications, capabilities, and skills:
MS/PHD degree in statistics, econometric, or other quantitative major
Otherwise, BS degree in statistics, econometric, or other quantitative major and minimum 7 years Risk Management or other quantitative experience required
Experience with some or all of: SQL, Python, Spark, Hive, Hadoop, Tableau
Experience with ETL tools and able to write complex SQL queries to process data from relational database systems
Practical expertise in analytical/data science methods as well as visualization tools such as Tableau
Transform results and findings into actionable management insights
Develop and communicate business recommendations and insights in an easy-to-understand-way by leveraging data to tell a story
Develop and maintain working relationships, both within the team and across the organization, by partnering effectively and gaining credibility and the respect of others
Preferred qualifications, capabilities, and skills:
A minimum of 5 years Risk Management or other quantitative experience
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