Senior Quantitative Developer - Credit Risk Technology

Role: Senior Quantitative Developer - Credit Risk Technology

Company: [Global Consulting / Risk Advisory Firm]

Location: [PAN INDIA]

Experience Level: 7+ years

About the Role:

We are looking for a highly skilled - Senior Quantitative Developer- with strong expertise in - C++ and Python- to design, build, and optimize - low-latency financial and risk analytics systems. In this role, you will develop and maintain quant libraries supporting - Credit Risk, FX, and Metals trading, working closely with quantitative analysts and risk modeling teams to deliver scalable and efficient technical solutions.

Key Responsibilities:

- Design, develop, and support - C++-based quant libraries- and analytics frameworks.

- Build and optimize - low-latency, multithreaded, and high-performance applications- .

- Collaborate with risk modelers and quant teams to integrate models into production systems.

- Deliver, test, and deploy quant libraries and - service-oriented applications- .

- Ensure code quality and version control using - Git/SVN- and CI/CD practices.

- Professional & Technical Skills

Must-Have Skills:-

- Expertise in - C++ / C++11- (templates, STL, performance optimization).

- Strong proficiency in - Python- for scripting and integration.

- Experience in - network programming, low-latency- , and - multithreading- development.

- Hands-on experience with - quant libraries- (e.g., Sigma / Sigma+).

- Excellent analytical, debugging, and problem-solving skills.

Good-to-Have Skills:-

- Advanced Python development experience beyond basic scripting.

- Familiarity with - CI/CD tools- (e.g., Jenkins) and - basic Java- programming.

- Knowledge of - REST APIs, Node.js, Angular.js, HTML5.

- Spreadsheet development (Excel, VBA).

Qualifications:

- Bachelor's degree in - Computer Science, Software Engineering, or related field.

- Master's (MSc/PhD) preferred but not mandatory.

Location:- [PAN INDIA]