Roles and Responsibilities

• Develop risk, profitability, fraud,and loss mitigation models used to provide affordable credit to serve those who are mis-scored by traditional credit bureaus, nearly half of Oportuns customers do not have a valid FICO score
• Discover insights from a myriad of data sources to understand and influence consumer financial behavior
• Build data pipelines to prepare data for rapid learning in a scalable manner
• Design and build machine learning and data infrastructure by partnering with data and production engineering teams
• Develop new complex features to be used to build next generation of machine learning models by combining techniques and business acumen
• Partner with production engineering team to deploy models, strategies, verification methods
• Communicate and partner with third party data vendors

Desired Candidate Profile

• Masters degree or PhD in Statistics, Mathematics, Computer Science, Engineering or Economics or other quantitative discipline (Bachelors’ degree with significant relevant experience will be considered)
• 5+ years of coding experience using machine learning toolset within Python, SQL, Spark, SAS and/or Scala; 5+ years of experience leveraging machine learning techniques such as Gradient Boosting, Logistic Regression, and Decision Trees, among others
• 5+ years of experience in working on risk based marketing and digital analytics; Preferably in financial services industry
• 5+ years of experience hands-on experiences with data extraction, cleaning, analysis and visualization; experience with non-structural data is a plus
• Excellent written and oral communication skills
• A relentless problem solver, out of the box thinker, and proven track record to drive business results in a timely manner
• Experience working with AWS or other cloud-based platforms
• Experience with HDFS, Hive, Shell script and other big data tools
• Comfortable in a high-growth, fast-paced, agile environment