Quantitative Analyst - US

StradIT; Jersey City (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

StradIT in Jersey City seeks an experienced quantitative professional to advance fixed income risk models and market-risk research. You will leverage Python, C++, and SQL to build robust analytics and deliver actionable insights for internal teams and regulators.

Bring 5+ years in quantitative modeling with fixed income expertise, strong problem-solving, and excellent communication. This on-site role offers collaboration across finance and analytics teams.

Qualifications

• 5+ years of experience in quantitative models and research with a fixed income focus.
• 3+ years hands-on experience in fixed income and/or market risk.
• Fluent in at least one high level programming language.
• Familiarity with SQL is a plus.
• Knowledge of treasury securities/ mortgage-backed securities pricing and VaR modeling a big plus.
• Strong analytical and problem-solving skills.
• Excellent communication skills, both oral and written.
• Maintain and enhance in-house fixed income risk models.
• Design and produce model performance metrics and reports for internal users and supervisors.
• Independently format and validate analysis results to ensure quality.

Responsibilities

• Maintain and enhance in-house fixed income risk models.
• Design and produce model performance metrics and reports.
• Communicate findings clearly to internal users and external supervisors.
• Format and validate analysis results to ensure quality.

Skills

Python

C++

Java

SQL

Analytical thinking

Communication skills

Job description

Qualifications and Responsibilities

5+ years of working experience and must have 3+ years of hands‑on experience in quantitative models, research, with deep understanding in 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 VaR modeling a big plus
• Strong analytical and problem‑solving skills
• Excellent communication skills, both oral and written
• Maintain and enhance in‑house 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