Director of Data - Fintech

San Francisco, CA

Post Date: 10/18/2017 Job ID: 22991 Industry: Data Scientist
Category : Data Scientist
Location/City : CA - San Francisco
Area Code : 415
Job Type : 1: Full Time
Country/Locale :
Id : 22991

#22991: Director of Data - Fintech Startup
San Francisco, CA
Company Description:Our client's loan servicing team is responsible for building software that moves hundreds of millions of dollars. In addition to the $1+ billion in loans actively serviced, they build tools to maximize growth while providing the best possible client experience. Their focus is on building a stable platform that allows us to move faster over time; this means an eye for detail, a willingness to rethink domains from first principles, and an ability to collaborate well across technical and non-technical teams.
Job Description:Our clien'ts Data team is responsible for building software and deploying algorithms that impact the key aspects of the business: risk assessment, automating decisions, predicting conversion, and optimizing our portfolio of loans. They believe in full stack data science. Their engineers and modelers partner and own the whole stack: data sourcing/ETL, model creation/testing, and model deployment/maintenance.As Director of Data, you will have a unique role. You will bring together state of the art modeling and state of the art engineering. This means everything from designing new engineering solutions to model deployment, honing how engineers and modelers work together, selling data solutions to stakeholders internally and externally, and identifying key business needs, and driving cross functional solutions.Data Focused: our client is driven by data. They collect over 100,000 different data points from their clients. Using this data they service their customers with a full understanding of their financial potential and background. The depth of data gives their models endless opportunity to improve our existing models and create new ones. It also requires software built specifically for rapid/continuous deployment, ensure model consistency, and interact with internal and external systems.

Autonomy: Their team decides how they work, inspiring ownership and a creative approach to solving problems. They value an individual's ability to govern themselves, independent of their position in the organizational structure. Each member of the team is empowered to offer design and architectural recommendations to help them make the best products possible. Because we build models as services it gives the team great freedom in designing the solutions, but great responsibility in making sure they are the right solutions.
Culture: They find value in code reviews, pair programming, and paying down technical debt. They seek diverse of perspective, backgrounds, and evaluate ideas based on merit. They welcome innovative solutions and cross functional efforts. By collectively pooling talent and experience, they believe that they can create the best products and a massively scalable company.
Responsibilities:
--Evolving and honing the framework for developing models as a service
--Evolving the organizational structure of the team as they grow
--Managing the creation of a sustainable architectural plan for the Services produced by the data team
--Ensuring that the modelers are leveling up their engineering skills and engineers on the team are leveling up their data modeling skills
Requirements:
--Extensive experience managing Modelers, Engineers, and Data Engineers: a desire to hire, develop, and guide the team.
--A vision for how data modeling and data engineering work is done and a track record of executing on that vision.
--A desire to engage actively and continuously with stakeholders throughout the business.
--A data and engineering technologist, for example
--Experience with server-side concepts, e.g. microservices, databases, caching, performance, monitoring, API design, TDD, AWS serverless technologies (Lambda, Kinesis, API Gateway), Docker, and functional programming
--Experience with modeling techniques (regression based models, tree based models, neural nets, etc.)
--Familiarity with experimental testing
--Familiarity or experience with Scala, Python, R
--Work with databases such as PostgreSQL and Redshift
--Experience with Continuous Integration/Continuous Delivery frameworks
--Understanding of Agile/Lean/Kanban practices
--You constantly seek to automate and scale by investing in data platform and infrastructure

Please contact:
Leah OFlynn / Redfish Technology
Director of Recruitment, Tech Talent Division
O: 208.788.8260 M: 732.644.4286
leah@redfishtech.com


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