Data Scientist/ Machine Learning

at Apptad Inc.
Published March 1, 2023
Location West Mclean, United States of America
Category Machine Learning  
Job Type Full-time  


Job Duration: Long-Term  Job Description:

  • Program Overview: He is in the Mode and Infrastructure Team within Credit Risk to develop and move risk models into production risk platform to utilize data and deployment of models. Build and manage a team of ~20 Data Scientists, Quants and Data Analysts to develop, implement and transform Capital One Credit Risk Models and Loss Forecasting System for Retail Portfolio (Mortgage/Card/Auto) through advanced analytics and innovations to enhance the enterprise's decision making;
  • Credit Risk Modeling and Implementation for Retail Portfolios (Auto, Card & Mortgage);
  • Loss Forecasting, ACL, CECL;
  • CCAR and Stress Testing;
  • Cash Flow Engine;
  • Model Monitoring and Model Calibration/Adjustment;

Required Skills:

  • Must Have: Python programming, AWS, Spark, Machine modeling
  • Nice to have: SQL, snowflake, tableau
  • Good understanding of Credit Risk models not viewed but working very closely with the model teams
  • Data Scientist and engineering team deploying models care about inefficiencies need to streamline the process instead of create solutions
  • Leverage tools and tech for data visualization for monitoring and performance dashboard development data visualization would be key
  • Mostly working utilizing Python, Pyspark, AWS and Flask have models written in Spark version of R moving from R to Python
  • Python experience is key
  • AWS experience is required
  • Spark is a must have
  • Expecting 3-5 years of experience rates need to reflect the levels of experience
  • Data Scientist who knows modeling and Python connect the models, deploy the models and optimize them financial engineer
  • BAU monitoring in Python - understanding models
  • Help to be able to convert or optimize modeling code or exclusion into a more efficient way converting spark in to Task and Pyspark converting and optimizing code
  • Converting and intent must be correct, testing is key.
  • Previous FinTech experience is a nice to have

Tech stack:

  • Python
  • Spark
  • Machine Learning modeling
  • Credit Risk Modeling
  • Predictive Modeling