Capital One
Financial Services
PrincipalAssociate,DataScienceUSCardFraudAuthenticationTeam
“Principal Associate, Data Science - US Card Fraud Authentication Team at Capital One. Skills: Data Science, machine learning, statistical modeling, quantitative analysis, big data. Dive into ambiguous fraud landscapes to identify opportunities where machine learning can drive value. Design the technical vision for our authentication workflows”
What You'll Achieve.
Optimize authentication decisioning; Stay ahead of evolving fraud patterns; Achieve tangible business goals
Industry & Context.
Dive into ambiguous fraud landscapes to identify opportunities where machine learning can drive value; Harness our big data ecosystem to uncover hidden patterns in massive datasets; Statistically-minded. You’ve built models, validated them, and backtested them.
What They're Looking For.
Must Have
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, 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, PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
Nice to Have
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, 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
What You'll Do.
Dive into ambiguous fraud landscapes to identify opportunities where machine learning can drive value
Design the technical vision for our authentication workflows
Evaluate feasibility and prototype innovative ML solutions
Harness our big data ecosystem to uncover hidden patterns in massive datasets
Turn raw information into actionable fraud-prevention strategies
Build machine learning models through all phases of development
from design through training
How You'll Work.
Team & Collaboration
Partner with a cross-functional team of business stakeholders, data scientists, software engineers, and product managers to deliver a product customers love
Communication Scope
Articulating the 'why' behind your solutions to influence stakeholders and achieve tangible business goals
Applying for this Principal Associate, Data Science - US Card Fraud Authentication Team role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Capital One?
Real rants from real employees. Read before you apply.