VP / Client, Finance & Strategy Data Scientist Lead – JPM Private Client

Do you enjoy solving key strategic issues that require analytical approaches? If you have a knack for bringing the power of data to key Stakeholders, that can change the game, then this opportunity is for you!

Job Summary:
As a Vice President, Client, Finance & Strategy Data Scientist Lead in our Data & Analytics team, you will be an team member contributor working closely with Finance, Strategy and Leadership Team. You will address key strategic issues requiring advanced analytics and a big data-promote approach. This role provides an opportunity to leverage your analytical skills and business acumen to promote impactful results that inform 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.
• Experience / Understanding of Cloud Storage (Object Stores like S3, Blob; NoSQL like Columnar, Graph databases)