Principal Associate, Data Scientist -Financial Services-Consumer Risk Modeling

Capital One • Plano, TX

2d

About The Position

Capital One seeks a Principal Associate, Data Scientist, to help develop data-driven solutions for consumer risk modeling in financial services. The role works with large volumes of customer data and applies statistical modeling and machine learning to identify insights and support products that help customers manage their financial lives.

The Data Scientist partners with data scientists, software engineers, and product managers to deliver customer-focused products. The role uses technologies including Python, Conda, AWS, H2O, and Spark, and builds machine learning models across the full development lifecycle, from design and training through evaluation, validation, and implementation. The position also requires communicating technical work in terms of business goals.

The ideal candidate is customer-focused, innovative, creative, and a collaborative leader who stays current with emerging technologies and state-of-the-art methods. They have hands-on experience developing data science solutions with open-source tools and cloud computing platforms, can build and validate models, and are comfortable interpreting evaluation measures such as confusion matrices and ROC curves. Relevant methods include clustering, classification, sentiment analysis, time series, and deep learning, alongside retrieving, combining, and analyzing data from varied sources and structures.

Requirements

• Currently has, or is obtaining with the required degree expected by the scheduled start date, a bachelor's degree in a quantitative field and at least 5 years of experience performing data analytics; or a master's degree in a quantitative field or an MBA with a quantitative concentration and at least 3 years of experience performing data analytics; or a PhD in a quantitative field.
• Quantitative fields include Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field.
• Hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
• Experience building, validating, and backtesting models and interpreting confusion matrices or ROC curves.
• Experience with clustering, classification, sentiment analysis, time series, and deep learning.
• Ability to retrieve, combine, and analyze data from sources with varied structures.

Nice To Haves

• Master’s degree in a STEM field plus 3 years of experience in data analytics, or a PhD in a STEM field.
• At least 1 year of experience working with AWS.
• At least 3 years of experience with Python, Scala, or R.
• At least 3 years of experience with machine learning.
• At least 3 years of experience with SQL.

Responsibilities

• Partner with data scientists, software engineers, and product managers to deliver customer-focused products.
• Use technologies such as Python, Conda, AWS, H2O, and Spark to uncover insights in large volumes of numeric and textual data.
• Build machine learning models throughout the development lifecycle, including design, training, evaluation, validation, and implementation.
• Translate complex technical work into tangible business goals.
• Research and evaluate emerging technologies, methods, and applications, and identify opportunities to apply them.
• Work with stakeholders to challenge conventional thinking and improve the status quo.
• Retrieve, combine, and analyze data from a variety of sources and structures.
• Develop and validate models and interpret measures such as confusion matrices and ROC curves.

Benefits

• Comprehensive health, financial, and other benefits supporting total well-being.
• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior