Intern - Quantitative Research Commodities (12 months)

Natixis; Greater London; Hybrid; GBP 25,000 - 35,000; Full time

Job summary

Natixis is seeking an Intern - Quantitative Research Commodities (12 months) in London. The role focuses on developing and assessing pricing and risk models for commodities derivatives, with hands-on work in C++ or Python within Front Office pricing architecture.

The candidate will conduct quantitative research for pricing and hedging strategies, stay abreast of numerical methods, and document methodological assumptions and numerical approximations.

Qualifications

• MSc or PhD in a scientific subject.
• Programming skills in C/C++ or C# or Python.
• Knowledge in Financial Markets specifics.
• Knowledge of Murex is a plus.

Responsibilities

• Develop, implement and assess models for pricing and risk of commodities derivatives.
• Develop quantitative research and analysis for financial pricing and hedging strategies.
• Keep abreast of cutting-edge approaches and best practices in numerical simulation and mathematical models.
• Provide support on existing Front Office pricing architecture.
• Systematically document work and provide a clear view of process assumptions and numerical approximations.
• Implement in the C++ Commodities Quantitative Library or Python for trading tools in line with Front Office pricing architecture.
• Document implementations in C++ CQ Library or Python for trading tools.
• Review cutting-edge approaches and best practices in numerical simulation and mathematical models.

Skills

C/C++

Python

Financial markets

Quantitative modeling

Education

MSc/PhD in a scientific subject

Tools

Murex

Job description

Intern - Quantitative Research Commodities (12 months)

• Internship
• 22457
• London

Job Description

Overall Purpose

A new strategy has been put in place recently to revive the commodity business, better serve our global clients and widen the client perimeter benefiting from Global Markets Sales footprint.

Main responsibilities and duties

Develop, implement and assess models used for pricing and risk management of commodities derivatives available in books and in the market including many layers of documentation from the codes comments tot he deep mathematical explanation.

Develop quantitative research and analysis for financial pricing and hedging strategies.

Keep abreast of cutting-edging approaches and best practices in the field of numerical simulation and mathematical models.

Provide support on existing Front Office pricing architecture.

• Systematically document work and provide a clear view of process assumptions and numerical approximations.

Responsible for producing:

Implementation in the C++ Commodities Quantitative Library or in Python for Trading tools with respect to existing Front Office pricing architecture

Documentation with respect to implementation in the C++ Commodities Quantitative Library or in Python for Trading tools.

Responsible for reviewing:

• Cutting-edging approaches and best practices in the field of numerical simulation and mathematical models.

Required Skills/Qualifications/Experience

Key skills/ experience

• Mathematical, statistical and numerical skills (MSc/Phd) in a scientific subject
• Programming skills in C/C++ or C# or Python
• Knowledge in Financial Markets specifics
• Knowledge of Murex is a plus

Personal attributes

• Motivated for Commodities
• Pragmatic with the right attitude and intellectual honesty
• Strong problem-solving skills and risk consciousness
• Good communication and presentation skills
• Good team player
• Ability to work on projects mostly independently with flexibility and creativity
• To be able to communicate tot he management in a clear and regular way on the progress oft he various projects