Financial Engineer

AKTRA INC

McLean (VA)

On-site

USD 110,000 - 180,000

Full time

14 days+

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Job summary

AKTRA INC is seeking a Financial Engineer in McLean, VA to support financial modeling and analytics initiatives in an enterprise environment. The role requires strong quantitative skills and a disciplined software engineering mindset.

Responsibilities include developing and maintaining financial models, building scalable analytics, and collaborating across risk, finance, and technology teams to implement and validate models.

Qualifications

  • Strong proficiency in R or SAS
  • Professional experience with Python
  • Master’s degree in Financial Engineering, Quantitative Finance, Applied Mathematics, or related quantitative field
  • Solid understanding of financial modeling, risk analytics, or capital markets
  • CFA designation or active pursuit of CFA is a strong plus

Responsibilities

  • Develop and maintain financial models using R or SAS
  • Build scalable, production-quality analytical solutions
  • Analyze large financial datasets to support modeling, forecasting, and risk analysis
  • Collaborate with risk, finance, and technology teams to implement and validate models
  • Ensure clean code standards, documentation, and reproducibility

Skills

R
SAS
Python

Education

Master’s degree in Financial Engineering

Job description

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Financial Engineer

McLean, VA

February 25, 2026

We are seeking a Financial Engineer with strong quantitative and programming expertise to support financial modeling and analytics initiatives in an enterprise environment. This role requires both deep financial knowledge and a disciplined software engineering mindset.

Responsibilities
  • Develop and maintain financial models using R or SAS
  • Build scalable, production-quality analytical solutions
  • Analyze large financial datasets to support modeling, forecasting, and risk analysis
  • Collaborate with risk, finance, and technology teams to implement and validate models
  • Ensure clean code standards, documentation, and reproducibility
Qualifications
  • Strong proficiency in R or SAS
  • Professional experience with Python
  • Master’s degree in Financial Engineering, Quantitative Finance, Applied Mathematics, or related quantitative field
  • Solid understanding of financial modeling, risk analytics, or capital markets
  • CFA designation or active pursuit of CFA is a strong plus
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Cloud, Cybersecurity & Infrastructure ServicesData Management & AnalyticsCloud ServicesFinancial ServicesProject/Program ManagementAI & Analytics

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