JPMorgan Risk Management - Strategic Analytics Vice President 

United States, Delaware, Wilmington 

879720638

Job Responsibilities:

• Design and implement vision, strategy, methodology and process for Risk strategies including appropriate measurement, evaluation and reporting standards are maintained within strategies to ensure the identification of risks and opportunities.
• Set adequate and measurable goals and objectives that ensure all tasks are carried out with a high degree of professionalism.
• Provide clear, concise and objective guidance to senior management and on risk issues in strategic decision making and help guide management to with a global view of risk including comprehensive summary reports to the appropriate committees
• Identify and implement world-class Card Risk Acquisition strategies while ensuring that all aspects of credit, legal, reputational and operational risks are considered.
• Monitor performance of Card Risk Acquisition strategies for relevant products.
• Develop deep and productive working relationship with the leaders across Marketing, Finance, Risk Execution, Legal and Compliance to identify opportunities to manage risk-adjusted returns for achieving financial and strategic objectives.
• Be an effective advocate and spokesperson for management on risk issues and risk management strategies.

Required qualifications, capabilities and skills:

• 7+ years of risk management or financial services experience
• Bachelor’s Degree with concentrations in Math, Finance, Statistics, Economics
• Strong written and verbal communication skills
• Data mining skills, specifically: SAS, SQL, Python, Excel, Microsoft Office, and database software applications
• Strong understanding or working knowledge of Credit Risk Models
• Flexible and able to handle multiple tasks and a changing environment
• Demonstrated experience in applying analytics to solve business problems efficiently and pragmatically through structured problem-solving approaches and proven independent decision-making skills

Preferred qualifications, capabilities and skills:

• Advanced degree preferred
• Working knowledge of Credit Risk Models including Machine Learning and Logistic regression models preferred