Quantitative Analyst (Quant) - Remote

Placements24; Stellenbosch; Ibrido; ZAR 1.997.000 - 3.494.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote-first / Fully remote

Global health benefits

Advanced tooling and technology

Flexible remote work arrangement

Descrizione del lavoro

Placements24 is seeking a highly skilled Quantitative Analyst to join a fully remote banking and finance team. You will design and implement models, price instruments, manage risk, and drive trading strategies from a remote setting.

You will work with a global team, applying advanced statistics and machine learning in Python, C++, or R, and backtest models to ensure robust performance. A PhD or Master’s in a quantitative field is required.

Competenze

• PhD or Master’s degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
• Proven experience (5+ years) as a Quantitative Analyst or in a similar quantitative role within the finance industry.
• Strong programming skills in Python, C++, or R, including experience with relevant libraries.
• Deep understanding of financial markets, derivatives pricing, and risk management principles.
• Excellent problem-solving abilities and the capacity to work independently and productively in a remote environment.

Mansioni

• Design, develop, and implement sophisticated quantitative models for pricing, risk management, and trading strategies.
• Utilize advanced statistical and machine learning techniques to analyze large financial datasets.
• Write high-quality, production-ready code in languages such as Python, C++, or R.
• Collaborate with traders, portfolio managers, and risk managers to translate business needs into quantitative solutions.
• Validate and backtest models, ensuring their accuracy, robustness, and performance.
• Stay abreast of the latest developments in quantitative finance, technology, and market trends.

Conoscenze

Python

C++

R

Quantitative analysis

Machine learning

Formazione

PhD or Master’s in a quantitative field

Strumenti

Python libraries (NumPy/SciPy/Pandas)

C++ libraries

R libraries

Descrizione del lavoro

About the Role

Our client is seeking an exceptional Quantitative Analyst (Quant) to join their cutting-edge banking and finance division. This is a fully remote position, offering the flexibility to work from anywhere while contributing to the firm's sophisticated financial modeling and risk management strategies. You will be instrumental in developing complex algorithms, statistical models, and data analytics tools to price financial instruments, manage risk, and drive trading strategies. The ideal candidate possesses a strong mathematical background, advanced programming skills, and a passion for tackling challenging financial problems in a remote-first setting, contributing to a global team.

Key Responsibilities

• Design, develop, and implement sophisticated quantitative models for pricing, risk management, and trading strategies.
• Utilize advanced statistical and machine learning techniques to analyze large financial datasets.
• Write high-quality, production-ready code in languages such as Python, C++, or R.
• Collaborate with traders, portfolio managers, and risk managers to translate business needs into quantitative solutions.
• Validate and backtest models, ensuring their accuracy, robustness, and performance.
• Stay abreast of the latest developments in quantitative finance, technology, and market trends.

Requirements

• PhD or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
• Proven experience (5+ years) as a Quantitative Analyst or in a similar quantitative role within the finance industry.
• Strong programming skills in Python, C++, or R, including experience with relevant libraries.
• Deep understanding of financial markets, derivatives pricing, and risk management principles.
• Excellent problem-solving abilities and the capacity to work independently and productively in a remote environment.

Benefits

• Highly competitive salary with substantial performance-based bonuses.
• Comprehensive global health and wellness benefits.
• Cutting-edge technology and tools for sophisticated analysis.
• The flexibility and autonomy of a fully remote working arrangement.
• Opportunity to work on challenging, impactful projects with a world-class team, regardless of your physical location near Stellenbosch or elsewhere.