Senior Quantitative Analyst (Quant)

Placements24; Stellenbosch Local Municipality; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Top-tier compensation package

Fully remote work environment

Health insurance

Retirement savings plan

Advanced computing resources

Learning opportunities

Job summary

Placements24 is seeking a Senior Quantitative Analyst to join a fully remote team developing sophisticated models for pricing derivatives, risk management, and algorithmic trading. You will collaborate with traders, PMs, and technology teams to drive innovation and deliver quantitative solutions across the global markets.

The role requires a PhD or Master’s in a quantitative field and 5+ years of industry experience.

Qualifications

• PhD or Master’s degree in Mathematics, Physics, Computer Science, Statistics, or Financial Engineering.
• 5+ years of experience as a Quant in finance (investment banking, hedge funds, or asset management).
• Expertise in stochastic calculus, time series analysis, and statistical modeling.
• Proficiency in C++, Python, and R.
• Strong understanding of financial markets, derivatives, and risk management.

Responsibilities

• Develop and implement quantitative models for pricing exotic derivatives and risk assessment.
• Design algorithms for high-frequency trading, arbitrage, and market making.
• Perform statistical analysis and data mining on large financial datasets to identify opportunities.
• Collaborate with software engineers to translate models into production trading systems.
• Conduct research into new quantitative methodologies and instruments.
• Provide quantitative support to trading desks and risk management, explaining model behavior.

Skills

Quantitative analysis

Problem solving

Abstract thinking

Research & innovation

Education

PhD or Master’s in quantitative field

Tools

C++

Python

R

Job description

About the Role

Our client is seeking a highly skilled Senior Quantitative Analyst (Quant) to join their cutting-edge, remote-first team. This role is instrumental in developing and implementing sophisticated mathematical models and analytical tools used for pricing complex financial derivatives, risk management, and algorithmic trading strategies. You will collaborate with traders, portfolio managers, and technology teams to drive innovation and provide quantitative solutions that give the firm a competitive edge in the global financial markets. This is an exceptional opportunity for a brilliant mind passionate about applying advanced mathematics and computational techniques to solve challenging problems in a dynamic, fully remote setting.

Key Responsibilities

• Develop, test, and implement quantitative models for pricing exotic derivatives, risk assessment, and portfolio optimization.
• Design and build algorithms for high-frequency trading, statistical arbitrage, and market making.
• Perform complex statistical analysis and data mining on large financial datasets to identify trading opportunities and market inefficiencies.
• Collaborate closely with software engineers to translate models into robust, production-ready trading systems.
• Conduct research into new quantitative methodologies and financial instruments.
• Provide quantitative support to trading desks and risk management functions, explaining model behavior and assumptions.

Requirements

• PhD or Master's degree in a highly quantitative field such as Mathematics, Physics, Computer Science, Statistics, or Financial Engineering.
• Extensive experience (5+ years) as a Quantitative Analyst in investment banking, hedge funds, or asset management.
• Expertise in stochastic calculus, time series analysis, and statistical modeling.
• Proficiency in programming languages commonly used in quant finance, such as C++, Python, and R.
• Strong understanding of financial markets, derivatives, and risk management principles.
• Excellent problem-solving skills, abstract thinking ability, and a strong desire for research and innovation.

Benefits

• Top-tier compensation package including a highly competitive base salary and significant performance-based bonuses.
• Fully remote work environment offering maximum flexibility and autonomy.
• Comprehensive health, dental, and vision insurance.
• Generous retirement savings plan with substantial employer contributions.
• Access to advanced computing resources and cutting-edge research tools.
• Continuous learning opportunities, including conference attendance and research support.