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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 30+ 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 and data mining efforts. They will build processes for the team to be able to use insights effectively and efficiently.
Responsible for end to end Cards insight creation, support in Card campaign, developing & building card related insights
Responsible for managing/maintaining Card programs i.e. Card Opportunities, Portfolio management, Value at risk, Card Explorer, Spend program etc.
Data mining and developing relevant data transformation logic
Designing processes to integrate data from multiple sources to facilitate client centric advanced analytics
Understand and connect the dots to different aspects of Card program.
Build, design, and develop the insights for decision making as well as building/assisting the dashboards design for Business Users.
Responsible for identifying and exploring all relevant data sources, generate the understanding, develop the logic to transforms into insights that can be leveraged into decision making and other needs.
Documenting data transformation logic
Developing efficient, scalable and repeatable processes to transform data on regular basis
Communicating with IT partners to share selected transformation processes by facilitating and reviewing business requirements
Design, build, develop and maintain the Analytical solutions to understand Card Clients behavior.
Develop analytical solutions to recommend Card product team to produce meaningful results.
Partnering with other data scientists/business analysts to make them familiar with the transformed information so that it can be appropriately used by other analysts and statisticians
Managing processes designed and developed by the information foundation team
Using best practices framework to ensure data quality and reconciliation checks are in place and are transparent to our users
Leveraging communication skills to collaborate effectively with analysts across SVB
Evaluating effectiveness of the transformation process and delivered information by working with users of information
Partnering with business groups to understand the Business case/Use case to develop/design best-in-class analytical solution(s).
Ability to research external insights and blend with internal insights to create and understanding of the market place (Clients/Prospects).
Solid understanding of writing and understanding of complex SQL queries
Extensive knowledge and experience in Oracle SQL, PLSQL, and SAS tools/techniques
Demonstrated experience with the data mining tools SAS/Anaconda and SQL preferably through Oracle PL/SQL.
Strong background in SAS programming and SQL coding is preferred
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
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
Strong analytical and problem solving skills
Demonstrated ability to self-manage and multitask in a dynamic, ever-changing environment
Effective time management and organizational skills
Flexibility to work/manage variety of projects
Bachelor/Masters in Computer Science, Finance, Accounting, Economics, Statistics or operational research
Working knowledge with Tableau is a plus
6+ years of experience in analytics and/or business intelligence space