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Traditionally, underwriting has used a handful of variables. ZestFinance takes an entirely different approach to underwriting using machine learning and large-scale big data analysis.
With a team of some of the world’s best data scientists from Google and lending experts from Capital One, ZestFinance analyzes thousands of potential credit variables – everything from financial information to technology usage – to better assess factors like the potential for fraud, the risk of default, and the viability of a long-term customer relationship.
We’re looking for crazy smart, creative thinkers who are passionate about finding new and innovative ways to address “old” problems. As a Software Engineer at ZestFinance, you’ll use your broad web development skills, ideally including Ruby on Rails and MySQL, and Agile development methods to develop applications and systems that enable our business. Specifically, you will:
-- Design, scope, and implement new systems and features -- from processing financial transactions, to aggregating data on customers, to analyzing metrics and loan performance information.
--Work with Product Management, Marketing, and Business to establish features, priorities, and timelines. This ranges from devising an attribution system for TV commercials, to establishing relationships with third party data providers among other things, of course.
-- Feel good about coming to work and enjoy not only the time you spend at the office, but the people you’re spending it with as well.
Based in Hollywood, CA, ZestFinance was founded by Douglas Merrill - the former CIO of Google - along with a handful of ex-Googlers and Capital One folks to bring social responsibility to the consumer loan industry. Normally, lenders determine who should get loans using a small amount of data bought from a data provider. When this data is missing or negative, the borrower is turned away. But why buy a handful of variables rather than use vast amounts of data provided by the customer, alternative data sources, and Internet crawls?
As it stands today, good people are being denied credit because old world processes don’t take advantage of today’s data-rich environment. In our worldview, all data is credit data, and we should use it all to make better loan decisions.
We’re looking for crazy smart, creative thinkers who are passionate about finding new and innovative ways to address “old” problems. As a Machine Learning Modeler at ZestFinance, you’ll use your math wizardry to develop radically new methods for data access, manipulation, and modeling. Specifically, you will:
-- Design and implement new models for predicting various outcomes
--Select and evaluate data elements and transformations
--Support other team members in their modeling and analysis methods
--Work with Product Management, Marketing, and Business to develop models to support specific business needs
--Feel good about coming to work and enjoy not only the time you spend at the office, but the people you’re spending it with as well.
The Business Analyst, Credit Policy and Product Strategy will drive product strategy and credit policy for ZestFinance’s revolutionary underwriting product that provides more accurate credit decisions, which lead to increased credit availability for borrowers and higher repayment rates for lenders. In this role, he/she will manage product design and credit policy (approve/decline, loan amount) to deliver compelling value to the customer while managing ZestFinance underwriting performance and associated economics. This opportunity has tremendous upside and will grow with the growth of the company.
Specifically, he/she will leverage the knowledge of installment loans and expertise in data-driven analysis to differentiate credit risk across customer profiles and ground key economic drivers underlying loan performance. To do this, he/she will use available data as well as design tests & experiments to create additional data to inform strategy development. He/she will build an appropriately complex financial model that calculates expected loan value and allows for scenario gaming to optimize product design, credit policy, and portfolio performance around several metrics including NPV, ROA, loss efficiency, and RAR.
--Drive analytical projects to optimize product design & credit policy
--Drive strategic insights to drive product design & credit policy
--Oversight of strategy implementation
--Deliver loan performance against managed performance metrics
For this role, raw talent & horsepower matter more than experience
--Bachelors Degree in analytical/quantitative field (Economics, CS, Philosophy, Engineering, Math) from a highly competitive university.
-- 2-4 years of experience in tactical problem solving. Experience implementing large projects preferred.
-- Top 1% quantitative analytics skills
--Strong interpersonal, leadership and communication skills
--Ability to work in a fast-paced, collaborative environment