Qualified Applicants Opportunities Jobs in Washington DC

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Manager, Product Management - Fraud (US Card)

Company: Capital One

Location: Washington DC

Posted Feb 01, 2025

Capital One's Fraud Product team is seeking a Product Manager for two key areas: Authentication & Verification and Payment Fraud Decisioning. The role involves driving the roadmap and delivery for real-time intelligent authentication experiences, determining strategy for pooling and reusing authentication tools, building a 101 Learning of the Authentication and Verification Space, outlining CX pain points, and managing a Senior Associate. The Product Manager will also lead a tech team, own feature and capability delivery, partner with data science teams, and collaborate with partner teams. Key qualifications include intellectual curiosity, communication and influencing skills, being a doer, passionate and customer-focused, a learner, and a team player. Basic qualifications include a Bachelor's Degree or military experience and at least 3 years of product management experience or experience in product design, agile delivery, business analysis, data science, or software engineering.

Frequently Asked Questions

What are the typical salary ranges for Qualified Applicants Opportunities by seniority?
Entry‑level AI/ML roles usually pay between $90,000 and $120,000 annually. Mid‑level positions range from $120,000 to $160,000, while senior roles can command $160,000 to $200,000. Lead or manager positions often exceed $200,000, reaching up to $250,000 in high‑cost‑of‑living markets or for highly specialized expertise.
What skills and certifications are required for these positions?
Core technical skills include Python, R, SQL, and statistical libraries. Proficiency with TensorFlow, PyTorch, scikit‑learn, and cloud‑native AI services (AWS SageMaker, Azure ML, GCP AI Platform) is essential. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, GCP Professional Data Engineer, and Kaggle Distinction demonstrate mastery and are highly valued.
Is remote work available for Qualified Applicants Opportunities?
Yes, approximately 80% of listings list remote or hybrid arrangements. Remote teams rely on tools like Slack, GitHub, MLflow, and cloud notebooks (Colab, SageMaker Studio) to collaborate across time zones while maintaining code quality and version control.
What career progression paths exist in this field?
Typical progression starts with a Data Analyst or Junior Data Scientist, advancing to Senior Data Scientist or ML Engineer. From there, professionals can move into Lead ML Engineer, AI Architect, or Director of AI/ML, often taking on strategic product direction and cross‑functional leadership responsibilities.
What industry trends are shaping Qualified Applicants Opportunities?
Key trends include the rise of edge AI for IoT devices, federated learning for privacy‑preserving models, increased focus on AI ethics and explainability, and the rapid deployment of AI in healthcare diagnostics and drug discovery. Companies are also investing in automated ML pipelines and no‑code AI platforms to democratize model development.

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