Peregrine Advisors

Senior Financial Analytics Engineer

Peregrine Advisors

full-time

Posted on:

Location Type: Remote

Location: District of ColumbiaWashingtonUnited States

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Job Level

About the role

  • Develop software solutions supporting quantitative analysis and modeling for credit ratings data
  • Analyze NRSRO data disclosures for compliance with applicable rules and statutes
  • Maintain analytical frameworks for utilizing data and quantitative analyses to identify potential areas for further inquiry
  • Conduct data-driven research related to the credit rating industry; summarize findings concisely through charts and graphs
  • Test deployment and functionality of internal systems and applications after new features are added
  • Document and quality-assure all project work prior to client delivery
  • Attend meetings with agency staff, securities industry participants, other government agencies, and relevant external organizations as needed
  • Contribute meaningfully to building Peregrine as an enterprise — whether through leading business development pursuits, developing internal tools or intellectual property, mentoring colleagues, or maintaining an active publication record
  • Collaborate with firm leadership to identify and drive initiatives that strengthen Peregrine's capabilities and market position

Requirements

  • Proficiency in Python and R-statistical language for quantitative analysis, statistical modeling, and software development
  • Advanced SQL skills and database management; advanced Excel and VBA skills
  • Experience with cloud platforms such as AWS
  • Experience building, deploying, and administering analytical applications, including analyzing user needs and translating them into software solutions
  • Expert domain knowledge of NRSROs and the credit rating industry - *this is central to the work*
  • Domain knowledge of asset-backed securities, asset pricing methods, and financial fixed income instruments
  • Previous experience working with XBRL data files
  • Experience with financial data modeling
  • Excellent professional qualifications, preferably evidenced by publication, industry acknowledgement, or academic recognition
  • 10+ years of professional experience in software development, quantitative analysis, or a related discipline
  • Background in computer science and statistical analysis
  • Excellent written and oral communication skills
  • Defined experience as a facilitator and collaborator in professional or academic environments
  • Ph.D. required, preferably in Finance, Economics, Computer Science, Data Science, Applied Mathematics, Statistics, or a related quantitative field
  • U.S. citizenship and ability to obtain and maintain a Public Trust suitability determination
  • Remote position; greater Washington, DC area preferred for hybrid engagement
  • Prior experience in a regulatory, consulting, or client-services environment
Benefits
  • Health Coverage: Full medical, dental, and vision — 100% of employee premiums covered
  • Life & Disability Insurance: Fully covered
  • 401(k): 100% match up to 4%, immediate vesting
  • Unlimited PTO
  • Tuition Reimbursement
  • Professional Development: Onboarding support, sponsored training, and high-impact federal project opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonR-statistical languageSQLExcelVBAAWSXBRL data filesfinancial data modelingquantitative analysisstatistical modeling
Soft Skills
written communicationoral communicationfacilitationcollaborationmentoringbusiness developmentanalytical thinkingproblem-solvingdocumentationquality assurance
Certifications
Ph.D. in FinancePh.D. in EconomicsPh.D. in Computer SciencePh.D. in Data SciencePh.D. in Applied MathematicsPh.D. in Statistics