Quantitative Analyst

Placements24

Cape Town

Hybrid

ZAR 1,200,000 - 1,800,000

Full time

5 days ago
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Benefits offered by this job

Performance incentives
Health & retirement benefits
State-of-the-art data resources
Hybrid work arrangement
Research opportunities

Job summary

Placements24 is seeking a highly skilled Quantitative Analyst to join their Banking & Finance team in Centurion. You will develop sophisticated financial models, pricing, risk management strategies, and trading algorithms, driving data-driven decision making and analyzing complex market data.

The role requires advanced degrees, 3+ years in a quantitative role, and strong programming in Python, R, C++, or Java.

Qualifications

  • Master's or PhD in Mathematics, Statistics, Physics, CS or Financial Engineering.
  • 3+ years in a quantitative analyst or similar role within finance.
  • Strong programming skills in Python, R, C++, or Java.
  • Deep understanding of statistical modeling, probability, stochastic calculus, and time series analysis.
  • Experience with derivatives, risk management concepts and financial markets.

Responsibilities

  • Develop, test, and implement quantitative models for pricing derivatives, risk management, and portfolio optimization.
  • Analyze large datasets to identify market trends, correlations, and investment opportunities.
  • Design and build algorithms for automated trading strategies and risk control systems.
  • Collaborate with traders, portfolio managers, and risk officers to provide analytical insights and solutions.
  • Ensure the accuracy and robustness of models through rigorous backtesting and validation.
  • Stay abreast of the latest developments in quantitative finance and technology.

Skills

Python
R
C++
Java
Time series

Education

Master's or PhD in quantitative field

Job description

About the Role

Our client is seeking a highly skilled Quantitative Analyst to join their innovative Banking & Finance team in Centurion . This role requires a strong blend of mathematical prowess, statistical expertise, and programming skills to develop sophisticated financial models, risk management strategies, and trading algorithms. You will be instrumental in driving data-driven decision-making, analyzing complex market data, and contributing to the development of cutting-edge financial products. This is an exciting opportunity for a mathematically inclined professional to make a significant impact in a leading financial services organization.

Key Responsibilities
  • Develop, test, and implement quantitative models for pricing derivatives, risk management, and portfolio optimization.
  • Analyze large datasets to identify market trends, correlations, and investment opportunities.
  • Design and build algorithms for automated trading strategies and risk control systems.
  • Collaborate with traders, portfolio managers, and risk officers to provide analytical insights and solutions.
  • Ensure the accuracy and robustness of models through rigorous backtesting and validation.
  • Stay abreast of the latest developments in quantitative finance and technology.
Requirements
  • Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
  • Proven experience (3+ years) as a Quantitative Analyst or in a similar quantitative role within the financial industry.
  • Strong programming skills in languages like Python, R, C++, or Java.
  • Deep understanding of statistical modeling, probability, stochastic calculus, and time series analysis.
  • Experience with financial markets, derivatives, and risk management concepts.
  • Excellent problem-solving abilities and attention to detail for complex financial data in Centurion .
Benefits
  • Attractive salary package with performance-based incentives.
  • Comprehensive health, retirement, and other employee benefits.
  • Access to state-of-the‑art technology and extensive data resources.
  • Stimulating work environment with opportunities for research and innovation.
  • Hybrid work arrangement for optimal work-life balance.
  • Collaborative culture fostering professional growth and knowledge sharing.
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