Lead Quantitative Analyst (Quant)

Placements24; Stellenbosch; Presencial; ZAR 1.200.000 - 1.900.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Significant bonus potential

Professional development & conference支

Descripción de la vacante

Placements24 in Stellenbosch, Western Cape, seeks a Lead Quantitative Analyst to spearhead the quantitative development team. You will design, develop, and implement sophisticated models for pricing, risk management, and algorithmic trading, leveraging advanced statistics and computation.

The role demands leadership, deep understanding of financial markets, and the ability to guide a team of analysts in a fast-paced environment.

Formación

• PhD or Master’s degree in Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
• Minimum of 10 years of progressive Quant experience in Banking & Finance.
• Proven track record of developing and implementing successful quantitative models.

Responsabilidades

• Lead the design, development, testing, and deployment of complex quantitative models for financial markets.
• Develop algorithms for pricing derivatives, managing risk exposures, and executing trades.
• Mentor and guide junior quantitative analysts, fostering academic rigor and practical application.
• Collaborate with traders, portfolio managers, and risk managers to understand needs and deliver quantitative solutions.
• Stay at the forefront of academic research and industry trends in quantitative finance.

Conocimientos

Python

C++

R

Quantitative modelling

Educación

PhD or Master’s in quantitative field

Herramientas

NumPy/SciPy

Descripción del empleo

About the Role

Our client, a highly respected financial services firm within the Banking & Finance sector, is seeking an exceptional Lead Quantitative Analyst (Quant) to spearhead their quantitative development team in Stellenbosch, Western Cape. This pivotal role involves the design, development, and implementation of sophisticated mathematical models for pricing, risk management, and algorithmic trading. The successful candidate will leverage advanced statistical and computational techniques to drive innovation and provide a competitive edge. This position requires a visionary leader with a profound understanding of financial markets and cutting‑edge quantitative methodologies. You will be instrumental in shaping the quantitative strategy of the firm, mentoring a team of talented analysts, and contributing significantly to the firm's success in Stellenbosch. The role demands deep analytical prowess and a passion for problem‑solving.

Key Responsibilities

• Lead the design, development, testing, and deployment of complex quantitative models for financial markets.
• Develop algorithms for pricing derivatives, managing risk exposures, and executing trades.
• Conduct rigorous back‑testing and validation of quantitative models.
• Collaborate closely with traders, portfolio managers, and risk managers to understand their needs and provide quantitative solutions.
• Mentor and guide junior quantitative analysts, fostering a culture of academic rigor and practical application.
• Stay at the forefront of academic research and industry trends in quantitative finance.
• Optimize existing models and implement new methodologies to enhance performance and efficiency.
• Ensure models comply with regulatory requirements and internal policies.
• Contribute to the strategic direction of the quantitative analytics function.

Requirements

• PhD or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
• Minimum of 10 years of progressive experience as a Quantitative Analyst in the Banking & Finance industry.
• Proven track record of developing and implementing successful quantitative models.
• Expert proficiency in programming languages such as Python, C++, or R, and experience with numerical libraries.
• Deep understanding of financial derivatives, market microstructure, and risk management principles.
• Experience with machine learning techniques applied to finance is a strong plus.
• Exceptional analytical, problem‑solving, and conceptual thinking skills.
• Strong leadership and team management capabilities.
• Excellent communication and presentation skills, able to explain complex concepts to non-technical audiences.
• Experience in Stellenbosch or a willingness to relocate is required.

Benefits

• Highly competitive salary and significant bonus potential.
• Opportunity to work on challenging and impactful quantitative projects.
• Access to advanced computational resources and datasets.
• Comprehensive health benefits and retirement savings plan.
• Professional development opportunities, including conference attendance and research support.
• A stimulating work environment that fosters innovation and intellectual growth in Stellenbosch.