What are the responsibilities and job description for the Data Science Director position at JPMorgan Chase?
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 an Executive Director- Data Science in the Chase 360 team, you will lead our data science initiatives and drive game-changing insights. In this pivotal role, you will spearhead a team of talented data professionals, bridging the gap between advanced analytics and strategic decision-making. You will build & execute the vision to expand our existing set of data assets and develop new capabilities to propel our business forward.
Job Responsibilities:
- Lead and manage a team of data scientists, providing guidance, mentorship, and support to drive results.
- Articulate a vision and execute a roadmap for developing an evergreen list of expanded data assets and capabilities.
- Develop attributes and enable implementation of data-driven strategies to optimize and enhance credit and fraud risk performance.
- Leverage cutting-edge data mining, and statistical modeling techniques to uncover valuable insights from complex, structured, and unstructured data sources.
- Collaborate cross-functionally with key stakeholders to identify business opportunities and address challenges.
- Drive innovation by exploring new technologies and methodologies to improve data analytics capabilities.
- Develop and deliver compelling presentations and reports to communicate insights and recommendations to senior leadership and key stakeholders.
- Stay abreast of emerging trends, technologies, and best practices in data science, continuously enhancing the team's capabilities and driving innovation.
Required qualifications, capabilities, and skills
- Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline.
- Minimum of 8 years of hands-on experience in data science, with a proven track record of delivering impactful, data-driven solutions to complex business problems.
- Deep expertise of the Consumer Financial Services industry
- Robust knowledge of statistical modeling, data mining techniques, and programming languages (e.g., Python, R, SQL).
- Strong business acumen and the ability to translate complex analytical insights into actionable recommendations that drive strategic decision-making.
- Exceptional problem-solving skills and the ability to think critically and creatively to address multifaceted challenges.
- Exceptional storytelling and persuasion skills, with the ability to effectively communicate complex concepts to both technical and non-technical audiences.
- Proven leadership skills, with the ability to inspire, mentor, and develop a high-performing team of data professionals.
- Experience working in a fast-paced, dynamic environment, with the ability to prioritize and manage multiple projects simultaneously.