FDTI CamerQuants

Becoming an AI-Augmented Quantitative Finance Analyst

Internship Opportunities (Mazars, Exiom, …)

About our training institute

At FDTI, we transform the theoretical knowledge gained by our trainees into the practical skills required to excel at the highest levels of the financial industry. We provide expert teaching from seasoned professionals within modern facilities, offering a calm, supportive environment where trainees can develop expertise, build strong professional networks, and gain valuable real-world experience.

Our partners

What is an AI-Augmented Quantitative Finance Analyst ?

An AI-Augmented Quantitative Finance Analyst is essentially a modern quant who combined

  • Traditional quantitative finance skills
  • with AI tools (LLMs, machine learning, automation)

to analyse markets, build models, and make decisions faster and smarter.

They share their experience

An excellent programme that turns theoretical mathematics into practical finance skills through hands-on learning. It also strengthens English proficiency and technical expertise, providing a truly enriching professional experience.

Sandjo Larry

BSc Mathematics – University of Yaounde 1

A highly rewarding training programme offering solid experience in C++ and Python applied to banking and finance. Real-world case studies and strong academic support make it a powerful stepping stone for future careers.

Mouncharou Fadimatou Zarou

BSc Mathematics – University of Yaounde 1

A unique opportunity to bridge advanced mathematics with financial markets and prepare for international Quant careers. The professional, supportive environment helps young talents grow and compete globally.

Fogne Foka Aurel

BSc Mathematics – University of Yaounde 1

Training objectives

Become a quantitative analyst and master the professional tools, methods, and processes used in modern financial markets.

Stochastic Calculus

Essential tools for derivatives pricing and risk modeling.

Computer Science and Agentic AI Programming

High-performance coding for financial systems.

Applied Mathematics & Statistics

Quantitative modeling and data analysis foundations.

Admissions Open

  • Level 1: Exact date to be confirmed.
  • Level 2: Exact date to be confirmed.
  • AAQFA: A new format is scheduled to launch in 2026 for young professionals and recent Master’s graduates seeking careers in quantitative finance.

Program Duration

  • FDTI Level 1: 2 months
  • FDTI Level 2: 6 months
  • FDTI AAQFA: 9 months

Enrollment
Limited seats available — fees cover full training costs

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