×
Register Here to Apply for Jobs or Post Jobs. X
More jobs:

Senior Quantitative Analyst - Remote

Remote / Online - Candidates ideally in
Sandton, 2172, South Africa
Listing for: Placements24
Remote/Work from Home position
Listed on 2026-10-20
Job specializations:
  • Finance & Banking
    Data Scientist
Job Description & How to Apply Below
About the Role

Our client, a leading quantitative trading firm, is seeking a highly skilled Senior Quantitative Analyst to join their fully remote team. This is an exciting opportunity for a mathematically inclined professional to develop and implement sophisticated trading algorithms and risk models. The role is 100% remote, enabling you to work from any location within South Africa, contributing to our cutting-edge research and development efforts.

You will leverage advanced statistical techniques, machine learning, and programming skills to drive innovation in financial markets. This position requires a strong academic background, deep understanding of financial instruments, and exceptional programming capabilities.

Key Responsibilities
  • Design, develop, and backtest quantitative trading strategies and models.
  • Implement and optimize algorithms for execution across various asset classes.
  • Conduct in-depth statistical analysis of market data to identify trading opportunities.
  • Develop and maintain risk management models to monitor and control portfolio exposures.
  • Collaborate with portfolio managers and traders to refine strategies and improve performance.
  • Research and apply advanced machine learning techniques to financial modeling problems.
  • Analyze large datasets to extract meaningful insights and inform decision-making.
  • Ensure the robustness, scalability, and efficiency of implemented solutions.
  • Stay abreast of the latest developments in quantitative finance, econometrics, and data science.
  • Document methodologies, research findings, and system designs thoroughly.
Requirements
  • Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
  • Minimum of 5 years of experience in quantitative analysis, algorithmic trading, or related fields within the financial industry.
  • Expertise in statistical modeling, time series analysis, and machine learning algorithms.
  • Proficiency in programming languages such as Python, C++, or R, including relevant libraries (e.g., Num Py, Pandas, Scikit-learn).
  • Strong understanding of financial markets, derivatives, and portfolio theory.
  • Experience with large-scale data processing and database management.
  • Excellent analytical, problem-solving, and research skills.
  • Ability to work independently and manage complex projects in a remote setting.
  • Strong communication and collaboration skills, with the ability to explain complex concepts clearly.
  • Demonstrated ability to work effectively in a fast-paced, research-driven environment.
Benefits

Our client offers a highly competitive compensation package, including a significant base salary, substantial performance-based bonuses, and potential equity participation. This is a fully remote position providing exceptional work-life balance and flexibility. You will have access to state-of-the-art tools and resources, and opportunities for continuous professional growth through challenging projects and virtual learning initiatives. Join a forward-thinking team shaping the future of quantitative finance.

Position Requirements
10+ Years work experience
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary