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Job Location: New York City Metropolitan Area
Job Detail:
Risk Data Scientist
Position: Full-time
Location:
1. New York Mid-Town
2. Jersey City, NJ
3. Columbus, OH
4. Plano, Tx
Job Description
As part of Risk Management and Compliance, you are at the center of keeping the Bank strong and resilient. 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 member of the Data Science team, you will leverage cutting-edge big data analytics techniques and tools to develop new attributes for usage across consumer banking 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. 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 consumer banking Risk, and improve operational efficiency
• Partner with stakeholders to drive implementation of Bank’s 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 Bank’s 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 consumer banking Risk
Skills, Experience and Qualifications .
• MS/PHD degree in statistics, econometric, or other quantitative major
• Otherwise, BS degree in statistics, econometric, or other quantitative major and minimum 3 years Risk Management or other quantitative experience required
• Expert level AI/ML modeler covering entire ML life cycle (development to deployments) – Jupyter NB/Python/AWS
• 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
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