Remote Quantitative Analyst: Exotic Derivatives Pricing

Placements24; Paarl; Hybrid; ZAR 3,046,000 - 5,415,000; Full time

Job summary

Placements24 is seeking a highly skilled Quantitative Analyst to join a fully remote trading desk. You will develop, implement, and backtest pricing models for exotic derivatives, applying stochastic calculus and numerical methods at the core of trading strategies.

The role requires a PhD/ MSc in a quantitative field and 4–6 years of derivatives pricing experience. Strong C++, Python, or R programming skills are essential for building robust pricing tools and risk models in a remote,

Qualifications

• PhD or MSc in a quantitative field (Math/Physics/Engineering/Stats/CS).
• 4–6 years of experience as a Quant in derivatives pricing.
• Strong knowledge of stochastic calculus and numerical methods.
• Proficiency in C++, Python, or R for pricing models.

Responsibilities

• Develop, implement, backtest pricing models for exotic derivatives.
• Design and calibrate models and risk calculations.
• Collaborate with traders and portfolio managers to translate needs into models.
• Perform sensitivity analyses and stress tests on pricing models.
• Contribute to quantitative infrastructure and libraries.
• Document methodologies and model implementations clearly.

Skills

Stochastic calculus

Probability theory

Numerical methods

C++/Python/R programming

Analytical thinking

Independent project work

Education

PhD or MSc in Mathematics/Physics/Financial Engineering/Statistics/Computer Science

Tools

C++

Python

R

Job description

Placements24 is seeking a highly skilled Quantitative Analyst to join a fully remote trading desk. You will develop, implement, and backtest pricing models for exotic derivatives, applying stochastic calculus and numerical methods at the core of trading strategies.

The role requires a PhD/ MSc in a quantitative field and 4–6 years of derivatives pricing experience. Strong C++, Python, or R programming skills are essential for building robust pricing tools and risk models in a remote,