Manager, Data Scientist - Card Intelligence Model Risk Management

About the role

The Card Intelligence Model Risk Management team at Capital One is part of the Card Intelligence product organization. Our team focuses on building out model development first line procedures, defining model development methodology standards, collaborating with the second line Model Risk Office on central common component validation, and developing change management procedures to better manage ongoing systemic changes to data, platforms, and models.

Responsibilities

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love.
• Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals.

Requirements

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
• A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics.
• A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics.
• A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics.
• At least 1 year of experience leveraging open source programming languages for large scale data analysis.
• At least 1 year of experience working with machine learning.
• At least 1 year of experience utilizing relational databases.

Qualifications

• PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics.
• At least 1 year of experience working with AWS.
• At least 3 years’ experience in leading model governance and end to end model development.
• At least 4 years’ experience in Python, Scala, or R for large scale data analysis.
• At least 4 years’ experience with machine learning.
• At least 4 years’ experience with SQL.

Skills

• Customer first: Passionate about doing the right thing for customers.
• Innovative: Continually researching and evaluating emerging technologies.
• Creative: Thriving on solving big, undefined problems.
• A leader: Challenging conventional thinking and improving the status quo.
• Technical: Comfortable with open-source languages and experienced in developing data science solutions.
• Statistically-minded: Experienced in building, validating, and backtesting models.
• Data guru: Proficient in retrieving, combining, and analyzing data from various sources and structures.

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits designed to support your total well-being. Learn more at the Capital One Careers website.

Pay

Salaries for this role vary by location, ranging from $179,400 - $204,700 for Mgr, Data Science in Richmond, VA to $215,200 - $245,600 for Mgr, Data Science in New York, NY. Candidates hired to work in other locations will be subject to the pay range associated with that location.

Schedule

This role is expected to accept applications for a minimum of 5 business days. No agencies please.

Equal Opportunity Employer

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.