Placements24 Stellenbosch vor 4 Tagen

Senior Quantitative Analyst (Quant) - Remote

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You will work independently from anywhere within South Africa, collaborating with a global, remote team of experts.

Benefits • Highly competitive salary and generous performance-based bonuses. • Remote work setup with a technology stipend. • Comprehensive private health insurance and retirement planning support. • Significant opportunities for research and publication. • A flexible, results-oriented work culture with a global team.

About the Role Our client, a cutting-edge fintech firm operating entirely remotely, is looking for an exceptional Senior Quantitative Analyst (Quant).

This role is perfect for an individual passionate about leveraging advanced mathematical and statistical techniques to develop sophisticated financial models for trading, risk management, and portfolio optimization.

This position offers unparalleled intellectual challenge and the opportunity to significantly impact the firm's quantitative strategies.

Key Responsibilities • Design, develop, and implement complex quantitative models for pricing derivatives, risk management, and algorithmic trading strategies. • Perform statistical analysis and back-testing of trading algorithms and investment strategies. • Collaborate with portfolio managers and traders to translate investment ideas into quantitative frameworks. • Write clean, efficient, and well-documented code in languages such as Python, R, or C++. • Contribute to the firm's research and development efforts, staying at the forefront of quantitative finance.

Requirements • Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. • Minimum of 6 years of experience as a Quantitative Analyst in the financial industry, with a focus on modeling and algorithm development. • Expertise in statistical modeling, time series analysis, machine learning, and stochastic calculus. • Proficiency in programming languages commonly used in quantitative finance (Python, C++, R). • Experience with large datasets and high-performance computing environments.

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