Senior Quantitative Analyst (Quant)

Placements24; Sandton; Hybrid; ZAR 1.200.000 - 2.000.000; Vollzeit

Benefits dieser Stelle

High salary + bonus

Health & retirement

Tech & research resources

Professional growth

Challenging problems

Zusammenfassung

Placements24 represents a leading financial institution in Sandton seeking a Senior Quantitative Analyst to develop pricing, hedging, and risk models for derivatives and trading strategies.

You will design and back-test models, collaborate with traders and technologists, and contribute to risk management through advanced statistical methods and machine learning insights.

Qualifikationen

• Advanced degree in a quantitative field.
• Minimum of 5 years of experience in quantitative finance or related area.
• Expertise in mathematical modeling, statistical analysis, and programming (Python, C++, R).
• Strong understanding of financial markets, derivatives, and risk management principles.
• Proven ability to develop and implement complex algorithms.
• Excellent problem-solving skills and ability to work independently and in a team.

Aufgaben

• Design, develop, test, and implement quantitative models for pricing financial instruments and derivatives.
• Create and refine algorithms for algorithmic trading strategies and portfolio optimization.
• Conduct in-depth statistical analysis and back-testing of trading models and risk strategies.
• Collaborate with technology teams to integrate quantitative models into production trading systems.
• Perform risk analysis and develop methodologies for market, credit, and operational risks.
• Stay abreast of cutting-edge research in quantitative finance, machine learning, and computational statistics.

Kenntnisse

Python

C++

R

Mathematical modeling

Statistics

Ausbildung

Master's or Ph.D. in quantitative field

Tools

Back-testing frameworks

Monte Carlo simulations

Jobbeschreibung

About the Role

Our client, a leading financial institution based in Sandton , is seeking a highly skilled Senior Quantitative Analyst (Quant) to join their innovative trading and risk management division. This role involves developing and implementing complex mathematical models and algorithms for pricing, hedging, and risk assessment of financial derivatives and trading strategies. You will collaborate closely with traders, portfolio managers, and technologists to translate complex financial concepts into practical, implementable solutions that drive competitive advantage. This is an exceptional opportunity for a mathematically gifted individual to tackle challenging problems in a fast-paced, intellectually stimulating environment.

Key Responsibilities

• Design, develop, test, and implement quantitative models for pricing financial instruments and derivatives.


• Create and refine algorithms for algorithmic trading strategies and portfolio optimization.


• Conduct in-depth statistical analysis and back-testing of trading models and risk strategies.


• Collaborate with technology teams to integrate quantitative models into production trading systems.


• Perform risk analysis and develop methodologies for measuring and managing market, credit, and operational risks.


• Stay abreast of cutting-edge research in quantitative finance, machine learning, and computational statistics.

Requirements

• Advanced degree (Master's or Ph.D.) in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.


• Minimum of 5 years of experience in quantitative finance, preferably in investment banking or hedge funds.


• Expertise in mathematical modeling, statistical analysis, and programming (e.g., "Python, C++, R").


• Strong understanding of financial markets, derivatives, and risk management principles.


• Proven ability to develop and implement complex algorithms.


• Excellent problem-solving skills and the capacity to work independently and in a team.

Benefits

• Highly competitive salary and significant bonus potential, reflecting expertise.


• Comprehensive health, wellness, and retirement benefits.


• Access to state-of-the-art technology and research resources in Sandton .


• Opportunities for professional growth and engagement with leading financial minds.


• Work on challenging and intellectually rewarding quantitative problems.