Vice President - Client Strategy and Finance Data Scientist Lead

JPMorgan Chase - San Francisco, CA

Full-time - Senior

San Francisco, CA

Credit Intermediation and Related Activities

About the position

As a Vice President, Client, Finance & Strategy Data Scientist Lead in the Data & Analytics team, you will collaborate closely with the Finance, Strategy, and Leadership Team to address key strategic issues through advanced analytics and a big data approach. This role emphasizes the application of analytical skills and business acumen to deliver impactful results that inform strategic decisions.

Responsibilities

• Communicate and interface with senior stakeholders to drive impactful results that inform strategic decisions.
• Engage and update stakeholders bi-weekly or as necessary, ensuring alignment, feedback incorporation, and transparency throughout the project lifecycle.
• Manage ownership and development from inception to completion, including gathering requirements, data preparation, model creation, result generation, and data visualization.
• Develop insights, methods, or tools using various analytic methods such as causal-model approaches, predictive modeling, regressions, machine learning, and time series analysis.
• Handle large amounts of data from multiple sources using advanced Python and SQL techniques to ensure efficiency and accuracy.
• Uphold the highest standards of data integrity and security, aligning with regulatory requirements and compliance protocols.

Requirements

• PhD or MSc. in a scientific field (Computer Science, Engineering, Operations Research, etc.) plus 6 years or more of experience in producing advanced analytics work with an emphasis in optimization.
• Strong proficiency in statistical software packages and data tools, including Python and SQL.
• Strong proficiency in advanced statistical methods and concepts, predictive modeling, time series forecasting, and text mining.
• Strong proficiency in data mining and visualization.
• Experience in cloud and big data platforms such as AWS, Snowflake, Hadoop, Hive, Pig, Apache Spark.

Nice-to-haves

• Financial service industry experience preferred.
• Experience with Tableau preferred.
• Understanding of cloud storage (Object Stores like S3, Blob; NoSQL like Columnar, Graph databases).

Benefits

• Comprehensive health care coverage
• On-site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching