Lead Analyst (Derivative pricing)

Evalueserve; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Evalueserve is seeking a Senior Quantitative Developer in Gurugram to develop and validate pricing libraries for derivatives and structured products. You will work with cross functional teams to implement governance and automation of quantitative workflows.

The role requires strong C++/Python skills, experience in option pricing methodologies, and a track record of delivering production quality models in a financial services setting.

Qualifications

• Bachelor's or Master's in Quantitative Finance, Financial Engineering, Mathematics, Physics, CS or related.
• 5-8 years in quantitative development, model validation or pricing library development.
• Strong programming skills in C++/Python with experience in pricing systems.

Responsibilities

• Develop, maintain, and enhance quantitative pricing libraries and model infrastructure.
• Implement model validation tests, benchmarking frameworks, and governance controls.
• Prepare model documentation, validation evidence, and governance deliverables.
• Review and uplift pricing libraries to align with risk and governance standards.
• Support validation and testing of pricing models across derivatives.
• Analyze model behavior, investigate discrepancies, and assist resolution.
• Automate processes and develop tools to improve efficiency and scalability.
• Participate in code reviews, testing, and deployment for production quality.
• Contribute to continuous improvements in development standards and validation frameworks.

Skills

C++

Python

Option pricing

Pricing libraries

Model governance

Validation testing

Cross-functional collaboration

Education

Bachelor's or Master's in Quantitative fields

Tools

C++

Python

Job description

Role Summary

We are seeking a highly motivated Senior Quantitative Developer (5-8 years' experience) to support the development, validation, governance, and enhancement of quantitative pricing models and libraries. The role combines quantitative finance, development, requiring strong expertise in python or c++, option pricing methodologies, and pricing library development. The successful candidate will work closely with teams to implement validation frameworks, strengthen model governance, and drive automation initiatives.

Key Responsibilities

• Develop, maintain, and enhance quantitative pricing libraries and model infrastructure using C++ or python.
• Implement model validation tests, benchmarking frameworks, and control processes to support model governance requirements.
• Prepare and maintain model documentation, technical specifications, validation evidence, and governance deliverables.
• Review and uplift existing pricing libraries to align with internal model risk, control, and governance standards.
• Support the validation and testing of pricing models across derivatives and structured products.
• Analyze model behavior, investigate discrepancies, and assist in the resolution of model-related issues.
• Automate manual processes and develop tools to improve efficiency, accuracy, and scalability of quantitative workflows.
• Participate in code reviews, testing, and deployment activities to ensure production-quality deliverables.
• Contribute to continuous improvements in quantitative development standards, documentation, and validation frameworks.

Required Qualifications

• Bachelor's or Master's degree in Quantitative Finance, Financial Engineering, Mathematics, Physics, Computer Science, Engineering, or a related discipline
• Senior Quant Developer: 5-8 years of experience in quantitative development, model validation, or pricing library development within investment banking or financial services
• Strong programming skills in C++/python, with experience working on quantitative libraries and pricing systems
• Solid understanding of option pricing methodologies and derivatives valuation techniques
• Experience with model testing, validation, benchmarking, and documentation
• Strong analytical and problem-solving skills with attention to detail
• Ability to work effectively in a cross-functional environment involving quant, technology, and business stakeholders