Quantitative Developer

Compunnel

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

Qualifications

  • 6+ years of Python development with object-oriented programming expertise
  • Recent experience in investment banking or capital markets
  • Experience with Equity and Derivatives trading systems
  • Strong SQL proficiency in PostgreSQL and MySQL
  • Experience with REST APIs and microservices
  • Understanding of equities and capital markets
  • Experience handling large financial datasets related to market and risk data
  • Strong analytical and problem-solving skills
  • Bachelor's or Master's in Finance, Computer Science, or related field

Responsibilities

  • Build, test, and optimize quantitative models for trading and risk management
  • Develop integrated Python-based analytics solutions
  • Manage and analyze large-scale financial datasets
  • Create REST APIs and microservices for quantitative applications
  • Collaborate with traders and analysts to implement scalable systems
  • Maintain existing quantitative frameworks and tools
  • Support integration of analytics with trading technologies

Benefits

  • Opportunity to work in a dynamic capital markets environment
  • Collaborative culture involving traders and quantitative experts
  • Focus on cutting-edge technologies in finance
  • Potential for professional growth and advancement
  • Exposure to large-scale financial datasets and innovative solutions
Full Job Description
Job Summary

Seeking a Quantitative Developer to build and support quantitative models, analytics platforms, and trading technology solutions within the capital markets domain. This role will focus on developing scalable Python-based analytics, managing large financial datasets, and integrating quantitative solutions with trading systems. The ideal candidate will have strong expertise in equities, derivatives, data engineering, and software development within investment banking or capital markets environments.

Key Responsibilities

  • Build, test, optimize, and maintain quantitative models supporting trading, pricing, and risk management
  • Develop Python-based analytics solutions integrated with trading systems
  • Manage, process, and analyze large-scale market, pricing, and risk datasets
  • Develop REST APIs and microservices architectures supporting quantitative platforms
  • Collaborate with traders, quantitative analysts, and technology teams to implement scalable solutions
  • Enhance and maintain existing quantitative frameworks and analytical tools
  • Support integration of analytics and trading technologies within enterprise environments
  • Stay current with financial theories, quantitative methodologies, market trends, and data science advancements
  • Contribute to scalable architecture and performance optimization initiatives


Required Qualifications

  • 6+ years of Python development experience with strong object-oriented programming expertise
  • Recent experience within investment banking or capital markets environments
  • Experience supporting Equity and Derivatives platforms or trading systems
  • Strong proficiency with SQL databases including PostgreSQL and MySQL
  • Experience developing REST APIs and microservices-based applications
  • Strong understanding of equities and capital markets
  • Experience working with large-scale financial datasets related to market, pricing, and risk data
  • Strong analytical, problem-solving, and collaboration skills
  • Bachelor's or Master's degree in Finance, Computer Science, or a related field


Preferred Qualifications

  • Experience integrating analytics solutions with trading systems
  • Exposure to Large Language Model (LLM)-assisted development tools and methodologies
  • Experience collaborating closely with traders, quantitative analysts, and technology teams
  • Experience building scalable analytics platforms and enterprise financial applications

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