Global Finance Quantitative Analytics Lead

Capital One

North Dakota

On-site

USD 162,000 - 185,000

Full time

14 days+
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Job summary

Capital One is seeking a Principal Quantitative Analyst for Global Finance. The role centers on advanced quantitative modeling for capital markets, derivatives and portfolio strategies, with heavy emphasis on Python and scalable cloud solutions.

You will partner with business lines, drive automation, and own the full model lifecycle from concept to deployment. Strong communication and documentation skills are required to convey complex results to varied audiences, while supporting risk

Qualifications

  • Deep understanding of quantitative modeling in finance, capital markets, derivatives and portfolio modeling.
  • Extensive experience in Python or other object-oriented language.
  • Ability to clearly communicate modeling results to diverse audiences.
  • Drive to develop and maintain high quality and transparent model documentation.
  • Strong written and verbal communication skills.
  • Excellent presentation skills.

Responsibilities

  • Partner with lines of business to develop Capital Markets models and analytical frameworks.
  • Create analytical solutions across Capital One entities to address business problems.
  • Apply quantitative methods and automation to improve performance and efficiency.
  • Collaborate in cross-disciplinary teams to build cloud-based data solutions.
  • Apply ML methods to enhance business performance.
  • Provide technical guidance to business leadership and stakeholders.
  • Communicate complex modeling concepts to diverse audiences.
  • Own the end-to-end model development process from concept to deployment.

Skills

Quantitative modeling
Python
Communication
Model documentation
Presentation skills
Risk software understanding

Job description

Capital One is seeking a Principal Quantitative Analyst for Global Finance. The role centers on advanced quantitative modeling for capital markets, derivatives and portfolio strategies, with heavy emphasis on Python and scalable cloud solutions.

You will partner with business lines, drive automation, and own the full model lifecycle from concept to deployment. Strong communication and documentation skills are required to convey complex results to varied audiences, while supporting risk

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