skills.rest
jeickmeier
jeickmeierCOMMUNITY
Explore all skills by this author →
GitHub

Quantitative Finance Review

Review quantitative finance code for mathematical accuracy and market conventions.

1|Updated Jul 2, 2025
Search Tags:#code review#production readiness#risk management#quantitative finance#pricing models#market conventions
One-click install
npx skills add https://github.com/jeickmeier/rfin --skill quantitative-finance-review
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Quantitative Finance Review
Source: https://github.com/jeickmeier/rfin/tree/main/.cursor/skills/quant-review
Command: npx skills add https://github.com/jeickmeier/rfin --skill quantitative-finance-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill rigorously reviews quantitative finance code, ensuring mathematical correctness, adherence to market conventions, and production-grade robustness.

Core Features & Use Cases

  • Code Auditing: Performs a deep dive into pricing, risk, and calibration code.
  • Library Assessment: Evaluates coverage, API usability, and extensibility.
  • Convention Compliance: Verifies adherence to industry standards (e.g., day counts, settlement).
  • Use Case: A hedge fund can use this Skill to audit a newly developed interest rate derivative pricing library before deploying it to production, identifying critical bugs and potential risks.

Quick Start

Run a holistic review of the finstack library, focusing on the rates module.

Frequently Asked Questions about Quantitative Finance Review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit quantitative finance code for production readiness?▼

Validate pricing models against industry benchmarks like QuantLib and Bloomberg functions. This ensures mathematical correctness, convention compliance for day counts and settlement, and production-grade robustness before deploying risk or calibration code.

What does a quantitative finance code review cover for interest rate derivatives?▼

Reviews also validate numerical stability and mathematical accuracy across rates, credit, FX, and fixed income asset classes. This identifies critical bugs and potential risks before production deployment.

Can I verify market convention compliance for fixed income pricing models?▼

Compliance verification ensures pricing, risk, and calibration code aligns with industry standards. This prevents convention errors in rates, credit, and fixed income libraries before production release.

How do I assess library completeness and API design for quantitative finance?▼

Library assessment identifies gaps in pricing and risk code coverage. This validates API design and production readiness against benchmarks like QuantLib before deployment.

Does quantitative finance code review validate against QuantLib and Bloomberg functions?▼

Validation against these industry benchmarks identifies critical bugs in calibration and pricing code. This confirms production readiness across rates, credit, FX, and fixed income asset classes.

Related Skills

Explore More Finance & Accounting Skills→
bsantannabsantanna
1

quant

Translate academic quantitative finance models into executable Python implementations.

Community
Advanced
hxhyyyhxhyyy

credit-analysis

Analyze bond pricing, credit risk, and interest rate sensitivity with quantitative models.

Community
Advanced
desibarradesibarra

replicate-integration

Deploy and run AI models on Replicate with polling and webhook workflows.

Community
Advanced
Paxeer-NetworkPaxeer-Network
3

quant-analyst

Develop financial models and trading strategies with Python libraries.

Official
Advanced