Silicon Valley Bank
Data Scientist (Finance)
Silicon Valley Bank is the market leader in providing financial solutions to the world's most innovative companies, leaders and investors. Our clients are the game changers fueling the global innovation economy and transforming the way we live and work. SVB has been an incredible growth story over the last 5 years and continues to grow and expand internationally. Come join a growing, global commercial bank at the heart of the innovation economy where you will be able to help bring our clients' world-changing ideas to life.
The Enterprise Business Analytics group at SVB is responsible for providing analytical business solutions to the bank. We translate data into actionable analytical solutions and promote information-based decision making to support SVB's strategic goals. One responsibility of the group is to create an insight foundation that is leveraged to develop analytical solutions and predictive modeling. In order to design and create information foundation, Data Scientists identify and explore relevant data sources; then create business understanding of the data by applying data mining techniques. The Data Scientist in this role will be responsible for complex data transformations, data mining efforts and building processes for the team to be able to use insights effectively and efficiently.
Responsibilities include:
Bachelor/Masters in Computer Science, Finance, Accounting, Economics, Statistics or operational research
6 years of experience in analytics and/or business intelligence space
Strong analytical and problem solving skills
Demonstrated experience with the data mining tools SAS/Anaconda and SQL preferably through Oracle PL/SQL.
Solid understanding of writing and understanding of complex SQL queries
Extensive knowledge and experience in Oracle SQL, PLSQL, and SAS tools/techniques
Background in data mining tools and techniques for e.g. SAS programming and SQL coding
Experience transform business specifications and requirements into well documented and scripted SQL, PL/SQL processes.
Ability to develop and enhance complex PL/SQL scripts, queries, and stored procedures and ETL processes
Proven Documentation (technical and user documentation) and Verbal and written Communication skills
Good understanding of BI Methodologies and Practice. Working knowledge with Tableau is a plus
Experience with systems integration, building system models by combining model components and testing the integrity of modeling systems, proficient with model and systems implementation testing
Knowledge of Data Governance and DQ framework is a plus
Background in data management in Banking/Finance industry is preferred
Experience with ETL and data modeling tools is a plus
Effective time management and organizational skills
Flexibility to work/manage variety of projects
Demonstrated ability to self-manage and multitask in a dynamic, ever-changing environment