Python Developer + Pricing

Jay Analytix Inc

$80K — $120K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in Python programming within financial services
  • Strong background in pricing models and banking systems
  • Ability to work collaboratively with front-office and quantitative teams
  • Expert understanding of financial instruments, especially derivatives and bonds
  • Proven experience in data processing and validation

Responsibilities

  • Develop and maintain core pricing libraries for various financial instruments
  • Implement complex pricing models leveraging Python
  • Create tools for valuation and P&L calculations
  • Collaborate closely with traders and risk teams to gather requirements
  • Process and validate critical market data for accuracy
  • Optimize pricing engines for enhanced performance
  • Ensure rigorous accuracy and audit trails in financial computations
  • Design APIs for seamless integration with trading platforms

Benefits

  • Flexible working hours
  • Opportunities for continuous learning and professional development
  • Collaboration with talented teams across finance and technology
  • Access to cutting-edge financial technology and tools
  • Supportive environment for innovation and creativity
Full Job Description
Role Overview

We are seeking a Python Developer with experience in pricing models and banking systems to build, enhance, and support applications used for valuation, risk analysis, and trading. The role involves working closely with front-office, risk, and quantitative teams to deliver scalable and accurate financial solutions.
Key Responsibilities
  • Develop and maintain pricing libraries for financial instruments such as Derivative (finance), bonds, and structured products
  • Implement pricing models (e.g., Black-Scholes Model) using Python
  • Build tools for valuation, P&L calculations, and risk analytics
  • Work with traders, quants, and risk teams to understand business requirements
  • Process and validate market data (interest rates, volatility, curves)
  • Optimize performance of pricing engines and analytics workflows
  • Ensure accuracy, consistency, and auditability of financial calculations
  • Develop APIs and services for integration with trading and risk platforms

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