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Silicon Valley Bank is the market leader in providing financial solutions to the world's most innovative technology and life science companies and investors. SVB has been an incredible growth story over the last 30+ years and continues to grow and expand internationally. In order to fuel our growth, we are placing an even greater emphasis on being a data-driven organization in our Enterprise Business Analytics team. Come join a growing, global commercial bank at the heart of the innovation economy.
The Enterprise Business Analytics group at SVB is responsible for providing actionable analytical solutions and products to help SVB sales executives and leaders achieve their initiatives and goals. Typical examples of initiatives include acquiring clients, retaining clients, deepening client relationships and helping our clients to succeed.
We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. For example, products that automate scoring using machine learning techniques and build recommendation systems.
Responsibilities include:
Selecting features, building and optimizing classifiers using machine learning techniques
Data mining using state-of-the-art methods
Processing, cleansing, and verifying the integrity of data used for analysis
Performing ad-hoc analysis and presenting results in a clear manner
Work closely with our data infrastructure team and other domain SMEs by giving requirements for new data acquisitions
Craft compelling, data-driven stories that educate, excite, and empower our partners with actionable insights
Look for opportunities to enhance our current analytical capabilities and develop new analytics products
Qualifications
Data mining and developing relevant data transformation logic
Demonstrated experience with the data mining tools such as Python, R, SAS and SQL
Background in data management in Banking/Finance industry is preferred
Experience with ETL and data modeling tools is a plus
Experience with Tableau is a plus
Strong analytical and problem-solving skills
Leveraging communication skills to collaborate effectively with analysts across SVB
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/master's in computer science, Finance, Accounting, Economics, Statistics or operational research
3+ years of experience in analytics and/or business intelligence space
