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Algorithmic Trading Quant

Vacancy Details

Reference No.



Our client, a leading financial and services organisation is currently seeking an individual to assume the role of Algorithmic Trading Quant. The successful incumbent will be responsible for building and implementing innovative algorithmic models and processes within a broad framework to enhance and inform strategic decisions that will improve profitability and reduce financial risks.


  • Influence creative business solutions, optimise processes and inform strategic decisions through innovative statistical modelling data analysis.
  • Create market making models to determine how we place our prices on the JSE to enable easy take up.
  • Rely on market data and micro structures to build pricing and hedging models.
  • Identify opportunities and optimise existing trading systems which will improve profitability, in line with strategy and reduce financial risks by designing new or improved models.
  • Microstructure analysis of market data and statistical analysis of client flows.
  • Apply research across multiple asset classes including FX, equities, fixed income and commodities.
  • Translate quantitative research into automated scalable, reliable processes with the help of other technical team members.
  • Analyse trading and client data to determine trading parameters in order to create bespoke client processes.
  • Back test and prototype quantitative price discovery models, short-term forecast models and automated risk management risk models as well as automated market making models.
  • Help create an eBook as a facilitator of new electronic flows as well as for auto risk management.
  • Research, develop and analyse electronic execution algorithms and execution performance in general.
  • Build and maintain a back-testing or simulation framework.
  • Maintain and enhance calibration and optimisation framework.
  • Ensure alignment on data structure from e-trading models to production trading systems as well as industrialisation of research technology framework.


  • Masters in Applied Maths, Statistics, Physics or Computer science
  • Domain knowledge in stock markets.
  • Broad exposure to capital markets and FICC asset classes.
  • Machine learning, numerical analysis, statistics or linear algebra.
  • Knowledge of price construction would be advantageous.

Kindly note, if you have not heard from us within two weeks of your application please consider it unsuccessful.

Position Type


Work Level



Market Related


Banking/Finance And Investment

Salary Type



Cost To Company

Affirmative Action


Geographic Location

Gauteng - JHB North