Our vision is to revolutionize the way credit operates—from application, to underwriting, to repayment.  We build cutting-edge technology and create networks which expand access to cheaper credit, reduce costs for lenders, and help fuel the collaborative economy of tomorrow.

We come from varied backgrounds and bring a unique perspective to lending.  We are looking for individuals who are humble, hard working, passionate, friendly, team-oriented, and innovative.  We like people who speak their mind and are comfortable with rapid change and uncertainty.  We value humor, user-centered design, open communication, curiosity, challenging assumptions, and rapid experimentation.  We seek to build groundbreaking technology and marry it with beautiful, intuitive design, and to transform intangible data into smart, holistic decisions.  

Data engineering, signal processing, machine learning...these are at the core of our DNA.  While we are specialists in technology, we care deeply about solving real business problems.   Small business lending is broken.  Come help us fix it!

We are looking for an entrepreneurial and intellectually-curious person to join our growing team.  If you sincerely love to code, get your hands dirty with raw data, and drive meaningful and actionable insights from the work you do, we could be a good fit.

• Your primary responsibility is to build machine learning models for credit decisioning that allow us to better understand the credit risk of an applicant and predict loan repayment

• Use statistical and machine learning techniques to create scalable classification, regression, recommendation, object recognition, text understanding…you get the picture

• Build out tools and infrastructure necessary for an automated system that learns from large data

• Create scalable and robust systems that can easily handle enormous data sets without significant degradation in performance

• Integrate third-party APIs into our infrastructure

Successful candidates possess the following:

• Strong software engineering background coupled with experience in machine learning and pattern recognition

• BS/MS in Computer Science, Statistics, Mathematics, or related field

• Experience manipulating and shaping diverse data sources

• While a background in finance or technical analysis is ideal, passion about tackling our shared problems and the impact you can have on the company go a long way

• Strong communication and collaboration skills

• Ability to work effectively in teams as well as alone

• Fluency in programming languages like Python/Java

• A self-starter: take a tough problem and figure out how to solve it

• Ability to work in a fast-paced, ambiguous environment while prioritizing and managing multiple responsibilities.

Mirador is based Portland, OR.