Vice President - Client Strategy and Finance Data Scientist Lead

Vice President / Client, Finance & Strategy Data Scientist Lead - 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 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 in...