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Principal Associate, Data Science - US Card Fraud Authentication Team

Capital One · New York, NY · 4 wk ago
Education$162k–$185k/yrFull-time

About the role

The US Card Fraud Authentication Data Science team operates at the critical intersection of fraud defenses and customer experience. We leverage a modern tech stack - including Python, AWS, Spark, H2O, and SQL - to analyze complex datasets and optimize authentication decisioning at Capital One. Our mission is to stay ahead of evolving fraud patterns through a combination of rigorous quantitative analysis and the development of scalable machine learning solutions.

Responsibilities

  • Dive into ambiguous fraud landscapes to identify opportunities where machine learning can drive value. You will help design the technical vision for our authentication workflows, evaluating feasibility and prototyping innovative ML solutions
  • Harness our big data ecosystem (Spark, AWS, and more) to uncover hidden patterns in massive datasets, turning raw information into actionable fraud-prevention strategies
  • Partner with a cross-functional team of business stakeholders, data scientists, software engineers, and product managers to deliver a product customers love
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  • Bridge the gap between technical complexity and business strategy, articulating the "why" behind your solutions to influence stakeholders and achieve tangible business goals

Qualifications

  • 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 5 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 3 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)

Preferred Qualifications

  • A Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
  • At least 1 year of experience working with AWS
  • At least 3 years of experience in Python, Scala, or R
  • At least 3 years of experience with machine learning
  • At least 3 years of experience with SQL

Pay

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Schedule

This role is full-time.

Benefits

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

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