What are the responsibilities and job description for the Vice President - Client Strategy and Finance Data Scientist Lead position at JPMorgan Chase?
Work for a company who gives you a platform to do amazing things.
As a Vice President, Client, Finance & Strategy Data Scientist Lead in our Data & Analytics team, you will work closely with our Finance, Strategy and Leadership Team. You will tackle key strategic issues using advanced analytics and a big data approach. This role is a great opportunity for you to use your analytical skills and business acumen to deliver impactful results that promote strategic decisions.
Job Responsibilities:
- Excel at communicating and interfacing with senior stakeholders, leveraging a blend of analytical skills and business acumen to drive impactful results that inform strategic decisions.
- Commit to iterative development, with a proven ability to 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, encompassing tasks such as gathering detailed 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, time series analysis, etc.
- Handle large amounts of data from multiple and disparate sources, employing advanced Python and SQL techniques to ensure efficiency and accuracy.
- Uphold the highest standards of data integrity and security, aligning with both internal and external regulatory requirements and compliance protocols
Required qualifications, capabilities, and skills:
- 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, text mining.
- Strong proficiency in Data Mining & Visualization.
- Experience in Cloud and Big Data platforms such as AWS, Snowflake, Hadoop, Hive, Pig, Apache Spark, etc.
- Strong story telling capabilities including communicating complex concepts into digestible information to be consumed by audiences of varying levels in the organization.
- Strong commitment to iterative development, with a proven ability to engage and update stakeholders bi-weekly or as necessary, ensuring alignment, feedback incorporation, and transparency throughout the project lifecycle.
Preferred qualifications, capabilities, and skills:
- Financial Service industry experience preferred.
- Tableau experienced preferred.
- Understanding of Cloud Storage (Object Stores like S3, Blob; NoSQL like Columnar, Graph databases)
