Senior Manager, Data Science, Bank Operations

Responsibilities

• Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver high-impact products.
• Build machine learning models through all phases of development, including design, training, evaluation, validation, and implementation.
• Leverage a broad technology stack including Python, Conda, AWS, H2O, and Spark to analyze massive volumes of numeric and textual data.
• Utilize emerging technologies such as LLMs, transformer architectures, neural networks, and agentic experiences to drive operational forecasting and anomaly identification.
• Translate complex technical work into tangible business goals and communicate insights to stakeholders.

Requirements

• Bachelor's degree in a quantitative field (Statistics, Economics, Math, CS, etc.) plus 7 years of experience in data analytics.
• OR Master's degree in a quantitative field plus 5 years of experience in data analytics.
• OR PhD in a quantitative field plus 2 years of experience in data analytics.
• At least 2 years of experience leveraging open source programming languages for large scale data analysis.
• At least 2 years of experience working with machine learning.
• At least 2 years of experience utilizing relational databases.

Preferred Qualifications

• PhD in a STEM field plus 4 years of experience in data analytics.
• At least 1 year of experience working with AWS.
• At least 1 year of experience managing people.
• At least 5 years of experience in Python, Scala, or R for large scale data analysis.
• At least 5 years of experience with machine learning.

Benefits

• Comprehensive, competitive, and inclusive health and financial benefits.
• Support for total well-being, including mental and physical health resources.
• Performance-based incentive compensation, which may include cash bonuses or long-term incentives.

About the Company

Capital One is a Fortune 200 leader in data-driven decision-making. We use cutting-edge technology and statistical modeling to personalize financial experiences and help everyday people manage their financial lives more effectively.