Quantitative Analyst (Quant)

Placements24; Klerksdorp; Hybrid; ZAR 1,959,000 - 2,938,000; Full time

Benefits offered by this job

Competitive base salary

Performance bonuses

Fully remote / global

State-of-the-art technology

Professional growth opportunities

Job summary

Placements24 seeks a highly skilled Quantitative Analyst to join their remote trading and risk management team. You will design and backtest advanced models, implement algorithms in Python, R, or C++, and work with data scientists to optimize portfolios in a fast-paced environment.

The ideal candidate holds an advanced degree in a quantitative field, with strong statistics, ML, time-series, and stochastic calculus skills, and a proven track record in finance.

Qualifications

• Advanced degree (Master's or Ph.D.) in a quantitative field.
• Proven experience as a Quantitative Analyst in finance.

Responsibilities

• Design, develop, and backtest complex quantitative models for trading strategies and risk management.
• Implement algorithms in Python, R, or C++.
• Analyze large datasets to identify patterns for predictive modeling.
• Collaborate with software engineers to deploy models into production trading systems.
• Monitor model performance and propose improvements.
• Provide quantitative support to trading desks and portfolio managers.

Skills

Statistical modeling

Machine learning

Time-series analysis

Stochastic calculus

Analytical thinking

Problem-solving

Education

Master's/PhD in a quantitative field

Tools

Python

C++

R

NumPy

Pandas

SciPy

Job description

About the Role

Our client is seeking a highly skilled and innovative Quantitative Analyst (Quant) to join their fully remote trading and risk management team. This role involves developing and implementing sophisticated mathematical models and algorithms to support trading strategies, risk assessment, and portfolio optimization. You will collaborate with traders, developers, and data scientists to leverage cutting‑edge technologies and data‑driven approaches. The ideal candidate possesses a deep understanding of statistics, probability, programming, and financial markets, thriving in a fast‑paced, intellectually challenging, and remote‑first environment. This is a unique opportunity to contribute to the firm's competitive edge through quantitative insights.

Key Responsibilities

• Design, develop, and backtest complex quantitative models for trading strategies and risk management.
• Implement algorithms in high‑level programming languages such as Python, R, or C++.
• Analyze large datasets to identify patterns, correlations, and opportunities for predictive modeling.
• Collaborate with software engineers to deploy models into production trading systems.
• Monitor model performance, conduct research into new methodologies, and propose improvements.
• Provide quantitative support and insights to trading desks and portfolio managers.

Requirements

• Advanced degree (Master's or Ph.D.) in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• Proven experience as a Quantitative Analyst or in a similar quantitative role within finance.
• Expertise in statistical modeling, machine learning, time‑series analysis, and stochastic calculus .
• Strong programming skills in Python, C++, or R, including experience with relevant libraries (e.g., NumPy, Pandas, SciPy).
• Familiarity with financial markets, instruments, and trading systems.
• Excellent analytical, problem‑solving, and communication skills, with the ability to articulate complex concepts.

Benefits

• Exceptional compensation package, including a substantial base salary and performance bonuses.
• Fully remote work arrangement, offering global flexibility.
• Access to state‑of‑the‑art technology and research resources.
• Significant opportunities for professional growth and innovation.
• Stimulating work environment with highly intelligent and motivated colleagues.