Senior 2nd LOD Model Validation Lead — Python Tools

Citigroup Inc.

New York (NY)

Hybrid

USD 208,000 - 248,000

Full time

7 days ago
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Benefits offered by this job

Medical, dental & vision coverage
401(k)
Life, accident, disability insurance
Wellness programs
Paid time off & holidays

Job summary

Citigroup Inc. in Long Island City, New York seeks a Model Validation 2nd LOD Senior Lead Analyst to perform rigorous validation of credit derivatives models and assess mathematical formulations and code implementations for accuracy and regulatory compliance.

You will develop benchmarking models, run stress tests, document findings in LaTeX reports, and build Python tools to automate testing while coordinating with stakeholders across Risk Management.

Qualifications

  • Requires a Master’s degree in a quantitative field and 3 years of model validation/analysis experience.
  • Experience with quantitative tools and financial models including derivatives.
  • Strong ability to document analytical processes and results.

Responsibilities

  • Validate credit derivatives pricing/risk models and assess model assumptions.
  • Develop benchmarking models and cross-check outputs against primary models.
  • Perform stress-testing, back-testing and scenario analysis; communicate risks to stakeholders.
  • Build Python-based tools to automate testing and enhance validation transparency.

Skills

Quantitative analysis
Model validation
Stress testing
Regulatory compliance

Education

Master’s degree in Mathematical Finance / Financial Engineering / Applied Mathematics / Statistics / Computational Finance / Physics

Tools

Python
R

Job description

Citigroup Inc. in Long Island City, New York seeks a Model Validation 2nd LOD Senior Lead Analyst to perform rigorous validation of credit derivatives models and assess mathematical formulations and code implementations for accuracy and regulatory compliance.

You will develop benchmarking models, run stress tests, document findings in LaTeX reports, and build Python tools to automate testing while coordinating with stakeholders across Risk Management.

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