Description

Implement analytical solutions for risk and pricing models within the financial services risk management service line.

This role is on-site.

Responsibilities

• Implement analytical solutions for risk and pricing models using Java and Python.
• Develop quantitative models and risk analytics tools.
• Build and maintain software for risk model implementation.
• Apply object-oriented programming principles to financial modeling tasks.

Required Skills

• 7-10 years of experience in a Quant Developer role, such as Front Office Support or risk model implementation.
• Strong programming proficiency in C++, Python, and Java.
• Deep understanding of Object-Oriented Programming (OOP).
• Solid grasp of software development fundamentals, including design patterns and algorithms.
• Experience with continuous integration, optimization techniques, and parallel processing.
• Knowledge of risk methodologies and traded financial products.
• Bachelor’s or Master’s degree in Mathematics, Computer Science, Financial Engineering, Quantitative Finance, or a related quantitative discipline.

Key Skills

Education

Any Graduate