Senior Quantitative Analyst - Algorithmic Trading

Placements24; Midrand; Hybrid; ZAR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Competitive salary package

Health and wellness benefits

Generous paid time off

Professional development opportunities

Access to state-of-the-art technology

Fully remote work environment

Job summary

Placements24 seeks a Senior Quantitative Analyst to design and refine trading algorithms and risk models. You will drive data-driven investment strategies in a remote-first setup across South Africa, collaborating with global teams.

The role requires advanced degrees in quantitative fields, 5+ years in quantitative finance, and strong Python/C++ skills with NumPy, Pandas, and SciPy. A dynamic, autonomous, remote-capable candidate will excel.

Qualifications

• Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• 5+ years of experience in quantitative finance, algorithmic trading, or a similar analytical role.
• Strong programming skills in Python and/or C++, with experience in data analysis libraries (NumPy, Pandas, SciPy).
• Deep understanding of statistical modeling, time series analysis, machine learning, and financial econometrics.

Responsibilities

• Design, develop, and implement sophisticated quantitative models and algorithms for trading strategies across various asset classes.
• Conduct in-depth statistical analysis and backtesting of trading models to assess performance, risk, and profitability.
• Collaborate closely with portfolio managers and traders to translate market insights and business requirements into actionable trading strategies.
• Develop and maintain robust risk management frameworks and perform stress testing to ensure portfolio resilience.
• Clean, process, and analyze large datasets to identify trading opportunities and patterns.
• Contribute to the ongoing research and development of new quantitative techniques and methodologies.
• Effectively communicate complex findings and model assumptions to both technical and non-technical stakeholders.
• Optimize existing trading systems for improved performance, speed, and efficiency.

Skills

Python

C++

NumPy

Pandas

SciPy

Time series analysis

Machine learning

SQL

Statistical modelling

Education

Master's or PhD in quantitative field

Tools

SQL

NumPy

Pandas

SciPy

Job description

About the Role

Our client, a leading force in the financial technology sector, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their innovative and dynamic team. This is a fully remote, pioneering position offering the flexibility to work from anywhere within South Africa while contributing to high-impact projects. You will be instrumental in developing and refining complex trading algorithms, risk management models, and data-driven investment strategies. This role is perfect for a self-motivated individual who thrives in a collaborative, remote-first environment and possesses a passion for cutting-edge financial markets. You will engage with a global team of experts, pushing the boundaries of what's possible in algorithmic trading and investment management. The opportunity allows for significant professional growth and the chance to shape the future of our client's trading operations from the comfort of your home office.

Key Responsibilities

• Design, develop, and implement sophisticated quantitative models and algorithms for trading strategies across various asset classes.
• Conduct in-depth statistical analysis and backtesting of trading models to assess performance, risk, and profitability.
• Collaborate closely with portfolio managers and traders to translate market insights and business requirements into actionable trading strategies.
• Develop and maintain robust risk management frameworks and perform stress testing to ensure portfolio resilience.
• Clean, process, and analyze large datasets to identify trading opportunities and patterns.
• Contribute to the ongoing research and development of new quantitative techniques and methodologies.
• Effectively communicate complex findings and model assumptions to both technical and non-technical stakeholders.
• Optimize existing trading systems for improved performance, speed, and efficiency.

Requirements

• Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• Proven experience (5+ years) in quantitative finance, algorithmic trading, or a similar analytical role.
• Strong programming skills in Python and/or C++, with experience in data analysis libraries (e.g., NumPy, Pandas, SciPy).
• Deep understanding of statistical modeling, time series analysis, machine learning, and financial econometrics.
• Familiarity with various financial markets and instruments (equities, futures, options, forex).
• Experience with large-scale data manipulation and database technologies (SQL).
• Excellent problem-solving abilities and a meticulous attention to detail.
• Demonstrated ability to work independently and manage projects effectively in a remote setting.

Benefits

• Competitive salary package commensurate with experience.
• Comprehensive health and wellness benefits.
• Generous paid time off and flexible working hours.
• Opportunities for professional development and continuous learning.
• Access to state-of-the-art technology and tools.
• The significant advantage of a fully remote work environment, promoting work-life balance.