Associate, Data Science, Credit Risk

Skip to main contentSign InAssociate, Data Science, Credit Risk page is loadedAssociate, Data Science, Credit RiskApplylocationsChicago HQtime typeFull timeposted onPosted 30+ Days Agojob requisition idJR100434Avant is adding to our Data Science team! We are looking for a self-driven candidate who is passionate about problem solving and interested in making a difference.  This person will be a key member of our Data Science team and responsible for the development of numerous kinds of customer lifecycle models.  If you are looking for an opportunity to join a great team where you can be yourself, deepen your skills and experiences, and find new areas of inspiration then consider a career at Avant! What you'll do at Avant:Work with stakeholders throughout the company to identify opportunities for leveraging company data and third-party vendor data to drive business solutions using different modeling techniquesDesign and build predictive models to enhance customer experience, reduce risk, improve revenue generation, optimize direct mail targeting, and drive key outcomes throughout the customer lifecycleDesign and build robust credit risk models, including application scorecards, behavioral models, loss forecasting, and risk-based pricing, to optimize underwriting decisions and drive overall portfolio performance.Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategiesClean, process and validate data to ensure its quality and integrity for modeling and analysisConduct feature engineering, select appropriate features and develop robust models using various machine learning techniquesPerform ad-hoc analysis and present results in a clear manner to senior management. Provide timely and justified recommendations in response to ad-hoc analysis requested by internal groupsProactively collaborate with Data Engineering, ML Operations, Software Development, Credit Risk, Marketing, Legal & Compliance, and other internal groups to implement and monitor models across the customer lifecycleDevelop and enhance processes and tools to monitor model performance and input and output data accuracyWhy you’re a fit at Avant:Master’s or PhD degree in Machine Learning, Computer Science, Statistics, Operations Research or a related STEM fields2-3 years of professional experience in machine learning or data science within the consumer credit/lending or fintech industryStrong expertise in machine learning theories and practices (Generalized Linear Model, Support Vector Machine, Random Forest, Gradient Boosting, Deep Learning, etc.)Familiarity with Object-Oriented Design (OOD) concept and functional programming with 2+ years experience writing production-level codeProficiency in Python with experience in the end-to-end development of machine learning models. Strong domain expertise and technical knowledge of credit risk modelingAdvanced in SQL for querying and analyzing large datasetsExcellent communication skills, with the ability to present complex concepts and findings clearly to both technical and non-technical audiences, and effectively collaborate with cross-functional teamsStrong analytical, problem-solving and critical-thinking skills, with a keen attention to detail and data integrityPreferred: Experience with ML and data analytics platforms/technologies such as Databricks, AWS (including AI/ML tools) and LookerIf you are a highly motivated and detail-oriented individual with a passion for data and product management, we encourage you to apply for this position.This role is based on our downtown Chicago Office, located in the Merchandise Mart. We highly value collaboration and our hybrid schedule (M, T, Th in-office) enables flexibility to balance work and individual priorities.Compensation Range:The base salary range for this job is USD $95,000 - USD $130,000 / YearEmployees new to Avant typically come in below the midpoint of the pay range. The...