Senior Quantitative Analyst - Remote
Pietermaritzburg, 3200, South Africa
Listed on 2026-10-27
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Finance & Banking
Data Scientist
Our client, a leading financial services firm, is seeking a highly analytical and motivated Senior Quantitative Analyst to join their dynamic team. This is a fully remote position, offering the flexibility to work from anywhere within South Africa. The successful candidate will play a crucial role in developing, validating, and implementing sophisticated financial models used for risk management, pricing, and trading strategies.
This role demands a deep understanding of financial markets, advanced mathematical techniques, and strong programming skills. You will collaborate with cross-functional teams, including traders, risk managers, and technology professionals, to deliver data-driven insights and solutions that enhance business performance and mitigate risk in a global financial landscape. We are committed to fostering a remote-first culture, providing the necessary tools and support for our team members to thrive independently and collaboratively, ensuring seamless integration into our company's objectives and success.
- Develop and maintain complex quantitative models for pricing derivatives, assessing credit risk, and forecasting market movements.
- Conduct rigorous back-testing and validation of models to ensure accuracy and reliability.
- Implement models into production environments using programming languages such as Python or C++.
- Analyze large datasets to identify trends, anomalies, and opportunities for optimization.
- Collaborate with front-office and risk management teams to understand their needs and translate them into quantitative solutions.
- Prepare detailed reports and presentations on model performance and findings for senior management.
- Stay abreast of the latest developments in quantitative finance, machine learning, and regulatory requirements.
- Contribute to the continuous improvement of the firm's quantitative frameworks and methodologies.
- Ensure all developed models comply with regulatory standards and internal policies.
- Master's or PhD in a quantitative field such as Mathematics, Statistics, Physics, Engineering, or Finance.
- Minimum of 5 years of experience in a quantitative role within the financial services industry.
- Proficiency in programming languages such as Python, R, C++, or Java.
- Strong understanding of financial derivatives, stochastic calculus, and time series analysis.
- Experience with data analysis and statistical modeling techniques.
- Excellent problem-solving skills and the ability to work independently.
- Strong communication and interpersonal skills, with the ability to explain complex concepts to non-technical audiences.
- Proven ability to manage multiple projects and meet tight deadlines.
- Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
- Competitive salary package.
- Comprehensive health and wellness benefits.
- Opportunities for professional development and continuous learning.
- Generous annual leave allowance.
- Access to cutting-edge technology and resources.
- A collaborative and supportive remote work environment.
- Performance-based bonuses.
- Retirement savings plan contribution.
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