Personal Capital is a next generation financial advisor. Our award-winning free tools and mobile apps give you a complete picture of your net worth, and we offer comprehensive financial advisory services previously only available to the ultra wealthy. We use technology to revolutionize the financial industry by making it more affordable, accessible, and honest. Our service starts with our free award-winning tools, which enable you to track your entire financial life in one place. Our advisors work one-on-one with clients to help develop sound, long-term investing plans.
You will work with the Data and Analytics team to design, develop, test, and implement highly scalable data pipelines to facilitate data mining, analysis, reporting, operating performance, and integration of disparate systems. You will create complex classifiers, predictive models and other machine learning techniques to provide insights and integrate analytic data with our applications. As a member of this team, you’ll collaborate with Data Architects, Data Scientists, Business Analysts and stakeholders to maximize the utilization of our rich set of data.
We use agile development methodology and expect our team members to be self-motivated, work well independently, and manage all aspects of the software development life-cycle from coding to deployment. We look for individuals with solid critical thinking skills, ability to synthesize complex problems and create processes that provide data sets that can be analyzed by data scientist and business analysts. Excellent written and speaking communication skills are required as we work in a collaborative cross-functional environment and interact with the full spectrum of business divisions.
Minimum Skills and Experience
Desired additional skills and experience