Job Location: Chennai
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
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