Quantitative Business Analyst R1 Per Annum
Listed on 2026-01-11
-
IT/Tech
Data Analyst, Data Scientist
Are you ready to blend quantitative brilliance with business impact?
A leading financial institution in Sandton is looking for a Quantitative Business Analyst who can turn data-driven insights into real-world business value. This is your chance to join a powerhouse team where quant meets strategy, and analytical innovation drives better client outcomes.
The OpportunityYou’ll be responsible for designing, building, configuring, and testing analytical and technical solutions that support pricing, risk, and valuation processes. You’ll work closely with business and technology teams to ensure high-quality, client‑centric solutions – and your financial modelling skills will be key to success.
What You’ll Be Doing- Design and implement pricing and risk‑analysis models (e.g., product pricing, curve stripping, scenario analysis)
- Conduct process design, testing, and troubleshooting for pricing/risk systems
- Analyse systems for fit and capability in financial modelling contexts
- Validate data, logic, and processes to ensure accurate outputs
- Take ownership of recurring production incidents, resolving issues across multiple teams
- Identify opportunities for process automation and efficiency gains
- Monitor the macro‑environment to spot trends and technologies that could enhance analysis work
- Collaborate across teams and vendors to align business and technical objectives
- Bachelor’s degree in Mathematics, Statistics, Computer Science, or related field
- 3 to 6 years’ commercial experience in quantitative or analytical environments
- Proficiency in Java, Python, C++, or Perl
- Strong grounding in Quantitative Analysis, Business Analysis, and Data Analysis
- A logical thinker who thrives on solving complex problems and building data‑driven solutions
- Competitive salary – up to R1,000,000 per annum (CTC, negotiable based on experience)
- Permanent position based in Sandton
- Work with top‑tier finance and tech professionals
- Exposure to cutting‑edge quantitative and analytical projects
Reference Number: GZ59899
Send your CV to or call to chat with Garth about this and other great roles.
Know someone perfect for this opportunity? e-Merge IT Recruitment offers cash rewards for successful referrals!
Check out more exciting opportunities at .
#J-18808-LjbffrTo Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search: