Silicon Valley Bank serves some of the most innovative companies in the world. Our clients are forward thinkers. True believers. Optimists. Inspired by them, we're changing the face of banking. Our clients have redefined products in many areas of the global economy, and every day we power their ability to do so. And we need leaders with the same can-do attitude as our clients. We're looking for creative thinkers who want to challenge the status quo and create a truly seamless digital banking experience on a global scale.
Join us as a newly created role: Data Scientist, Cash Management Products.
You understand and connect the dots to different aspects of analytics to support SVB's Product Management strategies with a focus on cash management platforms. You bring business understanding of data, analytics for decision making, statistical analysis, product performance metric reporting as well as reporting tool (Tableau) design and development. You will be analytic subject matter expert for cash management products and clients usage of our products, and provide analytics that support revenue generating product by applying product knowledge, statistics and/or machine learning, and various analytic techniques. Also, you'll be responsible for identifying and exploring relevant data sources, full business understanding of the data, develop algorithms, maintain statistical models, and deposit forecast models. As part of our collaborative teams, you will help to produce actionable results by collaborating with product managers and other analytics teammates.
Produce essential analytics that enabling cash management product decisions to maximize product revenue (ex. optimal product pricing; optimal segmentation for pricing), support cash management products initiatives (i.e. sizing of initiative opportunity, analytics that support agile initiative adjustment when needed, etc.).
Support advisors by identifying potential risks and opportunities via data-driven analytics.
Research, analyze, and interpret large data sets to help develop data-driven analytics.
Partner and work harmoniously with cross-functional teams such as product analytic specialists, product managers, business managers, and other analytical teammates in understanding the data and/or resolving business problems.
Routinely translate business problems/issues into data and use data-driven analytics to provide actionable solutions/recommendations to support overall Product Management strategy.
Exercise creativity, critical thinking, analytical thinking, and collaboration to solve problems.
Work may involve building spreadsheet and/or statistical models using a combination of banking and product knowledge, statistical techniques, and machine learning/optimization techniques.
Assist in querying data and creating metrics for product performance monitoring and analysis.
Developing efficient and scalable processes by leveraging data skills to assist Product Management team in optimizing and streamlining various data processes and by building Tableau report/dashboards to automate the update process of on-going reports/metrics.
Participates in meetings and special projects or duties as assigned by management. Participates in strategic planning of projects and initiatives.
Applies intuitive and trained analytic techniques, knowledge of SVB client behaviors and cash management products, and presents the ability to distill and synthesize data creatively to solve problems and create data driven insights that support Product Management decisions and SVB goals.
Applies sound judgment in determining how to collect, interpret, transform, and analyze data in order to produce meaning full results.
Routinely recommends analytical solutions, data mining approaches, and scenario analysis to solve business problems. Recommends solutions based on data-driven evidence. Recommends UX design for Tableau reports/dashboards.
Executes tasks independently and exercises judgment based on the analysis of multiple resources.
Knowledge of statistical modeling methods, machine learning algorithms, and various advance analytic techniques.
Strong data knowledge with the ability to distill and synthesize various data into cohesive insights, analysis, and/or recommendation.
Knowledge of bank products (i.e., deposits, sweeps, and ACH, wire transfers, other types of cash management products used by business and commercial clients) is strongly preferred.
Required and Preferred Skills:
Collaborative work style and approach to problem solving
Strong analytical and problem-solving skills
Strong Data analysis Skills
Thought Leadership skills
Process management skills
Effective time management and organizational skills
Strong written and verbal communication skills
Flexibility to work and manage variety of projects
Strong attention to detail
Tableau building knowledge and strong SQL experience, also SAS, R, and BOXI skills
Some UX design skill and knowledge preferred
Independent judgment/critical thinking
Strong Communication Proficiency
Bachelor or Masters in Engineering, Math, Computer Science, Econometrics, Statistics, Operational Research, or equivalent analytical or technical fields that use large data and statistics
5+ years of banking experience, analytics and/or business intelligence space, preferred
Banking balance sheet and cash management experiences preferred
Experience with bank migration and/or system replacements helpful