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System Quantitative Analyst
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General Details
Description
*System Quantitative Analyst*
*Johannesburg Northern Suburbs*
Measure, monitor and report on market, credit and liquidity risks. Apply state of the art technology and programming languages to assist in automation, learning and quantitative value add to Balance Sheet Management, Enterprise Risk Management and Group Finance.
* Play a leading role in the journey into Artificial Neural Networks, Machine Learning (AI).
* Develop an understanding of the markets and portfolios that are managed in BSM In order to identify quantitative use cases.
* Design and implement processes to source input information from internal risk systems to support financial risk measurement.
* Design and implement processes to source market information from external vendors to track financial metric performance.
* Develop and implement quantitative tools to measure financial risks using computational programming tools.
* Design, develop and maintain a database(s) to enable seamless data interaction and integrity.
* Document data architecture and ensure business continuity and security of data platforms.
* Deploy databases in AWS and create a secure interactive environment for reporting.
* Design reporting tools to extract data from database to develop insights into risk exposure changes over time.
* Play a leading role in identifying automation opportunities and draft the road map for achieving this.
* Quantitative based PhD degree, Masters or Honours degree in actuarial science/mathematical science/computer science/engineering or relevant data science qualifications.
* At least 4+ years of quantitative finance and development / programming skills/ Data Architecture/Database design etc.
* Programming and development experience in the following languages: Python and SQL.
* Visual Basic, R and C# will be advantageous.
* Financial mathematics and modelling skills.
* SQL with big data & column stores (beyond just Microsoft SQL Server), Python (with analytics libraries) appreciation for DevOps practises (Git-based CVS & deployment) m16.3m
Negotiable
* Quantitative based PhD degree, Masters or Honours degree in actuarial science/mathematical science/computer science/engineering or relevant data science qualifications.
* At least 4+ years of quantitative finance and development / programming skills/ Data Architecture/Database design etc.
* Programming and development experience in the following languages: Python and SQL.
* Visual Basic, R and C# will be advantageous.
* Financial mathematics and modelling skills.
* SQL with big data & column stores (beyond just Microsoft SQL Server), Python (with analytics libraries) appreciation for DevOps practises (Git-based CVS & deployment) m16.3m
https://protool.gumtree.co.za/external-link-browser.html?url=aHR0cHM6Ly9lbi16YS53aGF0am9icy5jb20vY29vcG9iX19jcGxfX18xNTU1XzI3MDU3X180OTc/dXRtX3NvdXJjZT1ndW10cmVlJnV0bV9tZWRpdW09ZmVlZCZrZXl3b3JkPQ==&jid=1192814&xid=1555_27057
Id Subtitle 1071852572
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