The Finance & Business Management (F&BM) Transformation group within the Office of the CFO partners with Financial Analysis, Controllers, and Treasury to build scalable, end-to-end solutions that optimize the use of financial data assets, drive improvement in human capital productivity, innovate to advance platform capabilities & efficiency, and exhibit robust controls while at the same time developing and managing skills of the future development programs to actively engage colleagues across the F&BM organization by upskilling and evolving solutions over a long-term horizon.
We work with every Line of Business across the firm's $3.1 trillion balance sheet, partnering with respective Finance, Risk, and Technology teams to understand our business needs and collaboratively design solutions. Our businesses include Retail Banking (e.g., Credit Cards, Mortgage, Auto, Deposits), Corporate & Investment Banking, Asset & Wealth Management, as well as the Chief Investment Office.
Our purpose is to innovate, deliver, and apply solutions to challenging problems, and drive sustainable change. We are looking to add new team members that can bring a unique blend of business and technical knowledge & skills to turbo-charge our finance organization. Join our team and transform the way we work to make a difference.
Partner with Line of Business teams to understand their data, forecasting and analytics needs
Analyze and design new capabilities for the firm-wide forecast platform and reshape it to provide a better user experience and optimize the end-to-end process
Develop new platform capabilities in partnership with our Technology partners and other product teams
Develop APIs to enhance accessibility to forecast data and analytics
Imagine new ways to give business users more access and direct control to the forecast end-to-end process
Understand the data flows in the platform and how they interact with models and analytics, identifying opportunities for improvement of the existing process
3 years of work experience developing applications, products or frameworks
Excellent knowledge of data pipelines - including databases, message bus, ETL, SQL, OLAP, cleansing, and transformation
Strong analytical and problem solving abilities. Demonstrated ability to frame open ended questions, and find creative solutions for them
Degree in computer science , engineering, or related field
General knowledge of forecasting techniques is a plus
Knowledge of typical 'big data' technologies such as Hadoop, Spark, Impala, Kafka is a plus
Knowledge of UI development, data visualization tools and presentation skills
Knowledge of agile methodologies and SDLC
Experience in partnering with business and technology to drive strategic products