We are looking for a Vice President, Client, Finance & Strategy Data Scientist Lead for our Data & Analytics team. This is an individual contributor role that will work hand-in-hand with Finance, Strategy and Leadership Team, helping them address issues that require advanced analytics and/or a big data-driven approach. Job Responsibilities:Adept at communicating and interfacing with senior stakeholders, leveraging a blend of analytical skills and business acumen to drive impactful results that i... more details
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:
We are looking for a Vice President, Client, Finance & Strategy Data Scientist Lead for our Data & Analytics team. This is an individual contributor role that will work hand-in-hand with Finance, Strategy and Leadership Team, helping them address issues that require advanced analytics and/or a big data-driven approach.
Job Responsibilities:
Adept at communicating and interfacing with senior stakeholders, leveraging a blend of analytical skills and business acumen to drive impactful results that inform strategic decisions.
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.
Project 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 (Tableau experienced preferred)
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
Experience / Understanding of Cloud Storage (Object Stores like S3, Blob; NoSQL like Columnar, Graph databases)
