Gusto is looking to drive machine learning and AI in the payment and risk domains by building a model-driven risk platform to provide a trusted environment for the Gusto Ecosystem.
Requirements
8+ years experience conducting statistical analyses on large datasets and deep domain knowledge in machine learning.
Proven experience in the credit risk modeling or fraud risk modeling using logistic regression, random forest, Xgboost or neural networks
Experience applying a variety of statistical and modeling techniques using Python, R or another statistical modeling language, as indicated by familiarity with many of the following techniques - predictive modeling, anomaly detection, ensemble methods, natural language processing (NLP, optional).
Strong programming skills - comfortable with all phases of the data science development process, from initial analysis and model development all the way through to deployment
Responsibilities
Build and deploy machine learning models to identify, assess and mitigate risks
Responsible for driving research in the problem space, working with stakeholders to understand model requirements, developing the model from scratch, deploying the model alongside your engineering counterparts, and monitoring and maintaining the model’s performance over time
Partner with Engineering, Design, and Product counterparts in Payment and Risk to solve complex cross functional problems
Develop scalable frameworks and libraries that enhance and contribute to the team’s core analysis and modeling capabilities
Identify new opportunities to leverage data to improve Gusto’s products and help risk management team to understand business requirements and develop tailored solutions
Present and communicate results to stakeholders across the company
Other
Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion
PhD or Masters plus equivalent experience in a quantitative field is a plus
Experience in the Fintech industry is a plus
Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role).
When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required.
