Description
As a Senior Manager, Data Science in the Model Risk Office at Capital One, you will partner with a cross-functional team to identify and quantify risks associated with models.
You will leverage a broad stack of technologies, including PyTorch, Hugging Face, LangChain, and Vector Databases, to reveal insights hidden within huge volumes of multi-modal data.
Your responsibilities will include:
- Building machine learning models to challenge champion models deployed in production today
- Contributing to the model governance framework for the next generation of models
- Validating a wide variety of models across multiple business domains
- Presenting identified model risks to executives
The ideal candidate is innovative, creative, a leader, technical, statistically-minded, and a data guru.
Basic qualifications include:
- A Bachelor's, Master's, or PhD in a quantitative field
- 7, 5, or 2 years of experience performing data analytics, respectively
- 2 years of experience leveraging open-source programming languages for large-scale data analysis
- 2 years of experience working with machine learning
- 2 years of experience utilizing relational databases
Preferred qualifications include:
- A PhD in a STEM field
- 1 year of experience working with AWS
- 1 year of experience managing people
- 5 years of experience in Python, Scala, or R for large-scale data analysis
- 5 years of experience with machine learning
The salary range for this role is: Chicago, IL: $209,000 - $238,500 McLean, VA: $229,900 - $262,400 Richmond, VA: $209,000 - $238,500
This role is also eligible to earn performance-based incentive compensation.