Quantitative Analyst (Quant)

Placements24; Centurion; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Competitive pay

Large datasets

Conferences access

Health benefits

Innovative culture

Job summary

Placements24 is seeking a brilliant Quantitative Analyst to join our remote finance team with an operational hub in Centurion. You will design, develop and implement sophisticated quantitative strategies and models for trading performance and risk management.

Requirements include an advanced degree (MS/PhD) in a quantitative field and strong programming in Python, C++, or R. The role emphasizes independent work and cutting-edge research in finance and machine learning.

Qualifications

• Advanced degree in a quantitative field.
• Proven quant role experience.
• Strong programming in Python/C++/R; data analysis libraries.

Responsibilities

• Develop and backtest trading algorithms and quantitative models.
• Design statistical and ML models for market prediction and risk management.
• Analyze large datasets to identify market inefficiencies and opportunities.
• Collaborate with traders and PMs to refine strategies and systems.
• Optimize algorithms for performance and robustness.
• Stay updated on quantitative finance research and ML advances.

Skills

Python

C++

R

Time series

Stochastic calculus

Machine learning

Remote work

Education

Master's or PhD in Mathematics/Statistics/Physics/CS/Financial Engineering

Job description

About the Role

Our client is seeking a brilliant and innovative Quantitative Analyst (Quant) to join their cutting-edge finance team based remotely, with an operational hub in Centurion . This role is at the forefront of financial modeling and algorithmic trading, requiring deep expertise in mathematics, statistics, and programming. You will be responsible for designing, developing, and implementing sophisticated quantitative strategies and models to drive trading performance and manage risk. This is an exceptional opportunity for a highly analytical individual to work in a challenging and rewarding field, contributing directly to the firm's success through data-driven insights and advanced technological solutions.

Key Responsibilities

• Develop and backtest complex trading algorithms and quantitative models using historical and real-time data.
• Design and implement statistical and machine learning models for financial market prediction and risk management.
• Analyze large datasets to identify market inefficiencies and trading opportunities.
• Collaborate with traders and portfolio managers to refine strategies and implement new trading systems.
• Optimize existing algorithms for performance, efficiency, and robustness.
• Stay abreast of the latest research and advancements in quantitative finance and machine learning.

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 quant role.
• Strong programming skills in languages such as Python, C++, or R, with experience in data analysis libraries.
• Deep understanding of stochastic calculus, time series analysis, and statistical modeling.
• Familiarity with financial markets, derivatives, and risk management concepts.
• Ability to work autonomously and effectively in a remote work environment.

Benefits

• Highly attractive compensation package including a substantial base salary and performance-based bonuses.
• Access to state-of-the-art technology and extensive datasets.
• Opportunities to publish research and attend leading academic and industry conferences.
• Comprehensive health and wellness benefits.
• A stimulating intellectual environment focused on innovation and problem-solving.