JP Morgan Chase - Associate - Strategic Analytics - Data Science - CCB Risk

Description:

As a member of the Chase 360 Data Science team, you will leverage cutting-edge big data analytics techniques and tools to develop new attributes for usage across CCB Risk, 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. This role will require frequent interaction and communication with cross-functional partners and presentation to managers and executives. The successful candidate will excel at creative thinking and problem solving, be self-motivated, confident and ready to work in a fast-paced energetic environment.

Responsibilities:

- Work collaboratively with cross-functional partners to understand and address key business challenges, identifying novel solutions to complex problems that impact multiple lines of business

- 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

Qualifications:

- MS/PHD degree in statistics, econometric, or other quantitative major and 3 years Risk Management or other quantitative experience preferred

- Otherwise, BS degree in statistics, econometric, or other quantitative major and minimum 5 years Risk Management or other quantitative experience required

- Experience with ETL tools and able to write complex SQL queries to process data from relational database systems

- Transform results and findings into actionable management insights

- Practical expertise in analytical/data science methods as well as visualization tools such as Tableau

- Experience with some or all of: SQL, R, Python, Spark, Hive, Hadoop, Tableau

- 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