Quantitative Analyst

StradIT

$90K — $130K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of professional experience in quantitative models and research
  • 3+ years of hands-on experience focused on fixed income and/or market risk
  • Fluency in a high-level programming language (Python, C++, Java, etc.)
  • Knowledge of treasury and/or mortgage-backed securities pricing; VaR modeling experience preferred
  • Strong communication skills for conveying complex model outputs
  • Experience in validating quantitative analysis results
  • Master's degree or higher in a quantitative discipline
  • Authorization to work in the U.S.

Responsibilities

  • Maintain and enhance existing fixed income risk models
  • Create model performance metrics and reports for stakeholders
  • Validate analysis results to ensure high quality
  • Support oversight needs through quantitative analysis
  • Communicate model insights to internal users and external supervisors

Benefits

  • Opportunities for professional growth and development
  • Collaborative work environment
  • Access to advanced quantitative modeling tools
  • Exposure to industry-leading practices in risk management
  • Flexibility with work arrangements
Full Job Description
In this role, you will help support quantitative risk modeling work tied to fixed income and market risk use cases. This is an opportunity to contribute to analysis that informs stakeholders, supports oversight needs, and helps maintain high standards for model quality and reporting. Responsibilities • Maintain and enhance fixed income risk models • Design and produce model performance metrics and reports to support communications with both internal model users and external supervisors • Independently format and validate analysis results to ensure quality Requirements • 5+ years of professional work experience and must have 3+ years of hands-on experience in quantitative models and research, with deep understanding of fixed income and/or market risk. • Fluent in at least one high-level programming language (Python, C++, Java, etc.). Familiarity with SQL is a plus. • Knowledge of treasury securities and/or mortgage-backed securities pricing and experience with VaR modeling a big plus. • Excellent communication skills, with experience communicating model outputs to internal model users and external supervisors. • Experience validating quantitative analysis results or model outputs to ensure quality. • Master's degree or above in a quantitative field of study. • Eligible to work in the United States. Benefits

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