Senior Quantitative Analyst (Quant)

Placements24

Bloemfontein

Hybrid

ZAR 1,800,000 - 2,500,000

Full time

5 days ago
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Benefits offered by this job

Exceptional salary and bonus structure
Fully remote work arrangement
Comprehensive health and wellness bene
State-of-the-art technology and tools
Intellectually stimulating challenges

Job summary

Our client seeks a highly skilled Senior Quantitative Analyst to join their team on a fully remote basis. This role focuses on developing mathematical models for pricing, risk management, and trading strategies within financial markets.

The ideal candidate has an advanced degree and at least five years of experience in quantitative finance, with proficiency in Python, C++, and R, along with strong analytical and communication skills.

Qualifications

  • Advanced degree (Master's or PhD) in Mathematics, Physics, Statistics or Financial Engineering.
  • Minimum 5 years of experience in quantitative finance with modeling focus.
  • Proficiency in Python, C++, and R.
  • Solid understanding of financial markets, derivatives, and risk management.
  • Experience with statistical modeling, time series analysis, and numerical methods.
  • Excellent analytical, problem-solving, and communication skills.

Responsibilities

  • Design, develop, and implement quantitative models for pricing and risk management.
  • Create and backtest trading algorithms using historical and real-time data.
  • Analyze large datasets to identify market inefficiencies and opportunities.
  • Collaborate with traders, PMs, and tech teams to refine models.
  • Ensure models meet regulatory standards and robustness.
  • Contribute to research and development of new methodologies.

Skills

Statistical modeling
Time series analysis
Analytical thinking
Communication

Education

Master's or PhD in quantitative field

Tools

Python
C++
R

Job description

About the Role

Our client is seeking a highly skilled Senior Quantitative Analyst , often referred to as a 'Quant', to join their innovative team on a fully remote basis. This role is crucial for developing sophisticated mathematical models and algorithms for pricing, risk management, and trading strategies within the financial markets. You will work at the forefront of quantitative finance, applying advanced statistical and computational techniques to solve complex financial problems. This remote position offers an unparalleled opportunity to contribute to a leading financial institution's success without geographical constraints.

Key Responsibilities
  • Design, develop, and implement quantitative models for financial derivatives pricing and risk management.
  • Create and backtest trading algorithms and strategies using historical and real-time market data.
  • Analyze large datasets to identify market inefficiencies and opportunities.
  • Collaborate with traders, portfolio managers, and technology teams to implement and refine models.
  • Ensure the accuracy, robustness, and compliance of quantitative models with regulatory standards.
  • Contribute to the research and development of new quantitative methodologies.
Requirements
  • Advanced degree (Master's or PhD) in a quantitative discipline such as Mathematics, Physics, Statistics, or Financial Engineering.
  • Minimum of 5 years of experience in quantitative finance, with a strong focus on modeling and algorithm development.
  • Proficiency in programming languages commonly used in quantitative finance (e.g., Python, C++, R).
  • Solid understanding of financial markets, derivatives, and risk management principles.
  • Experience with statistical modeling, time series analysis, and numerical methods.
  • Excellent analytical, problem-solving, and communication skills.
Benefits
  • Exceptional salary and bonus structure commensurate with experience and performance.
  • Fully remote work arrangement allowing for global flexibility.
  • Comprehensive health and wellness benefits.
  • Access to state-of-the-art technology and computational resources.
  • Engage in intellectually stimulating challenges within the dynamic world of quantitative finance.
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