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Quantitative Analyst Centurion
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Description
TalentCru
New opportunity! EE Position! A fast growing financial services company is requiring your dyanamic skill to be e mployed as Quantitative Liquidity Risk Analyst. Role purpose is to be part of our exciting journey in the quantitative
analytical space, where we measure, monitor and report on market, credit and liquidity risks. We apply state of the
art technology and programming languages to assist in our journey of automation, learning and quantitative value
add to Balance Sheet Management, Enterprise Risk Management and Group Finance. Duties includes develop an
understanding of the markets and portfolios that are managed. In order to identify quantitative use cases, Design
input data templates to be used in the financial risk measurement process, design and implement processes to source
input information from internal risk systems to support financial risk measurement. The successful must be have
Quantitative based PhD degree, Masters or Honours degree, Minimum of 4 years of quantitative finance and development /
programming skills..Programming and development experience in the following languages: Python and SQL, Database
esign, development provide quantitative assistance to the treasury team i.e., Maintenance of FTP (Funds Transfer Pricing)
and assist with valuations, Development and review of the liquidity risk documents (e.g., Liquidity risk framework,
identification of liquidity risk weaknesses and recommendation of improvements to management.
The successful candidate must have:
Quantitative based PhD degree, Masters or Honours degree
At least 4 years of quantitative finance and development / programming skills.
Programming and development experience in the following languages: Python and SQL
Database design, development management skills
Financial mathematics and modelling skills
If you are client/stakeholder committed, Business Acumen, drive results, lead change and motivation with colloboration then apply now!
https://protool.gumtree.co.za/external-link-browser.html?url=aHR0cHM6Ly9lbi16YS53aGF0am9icy5jb20vY29vcG9iX19jcGxfX18xNTU1XzQ2MjEzX180OTc/dXRtX3NvdXJjZT1ndW10cmVlJnV0bV9tZWRpdW09ZmVlZCZrZXl3b3JkPQ==&jid=1234753&xid=1555_46213
Id Subtitle 1093456535
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If you meet the requirements for above position kindly email your profile to: link to the job
To see more career opportunities click link below:
https://www.dittojobs.com/company/view
or Visit our Website www.solicited.co.za
Should you have any questions regarding the above role or any other vacancies, kindly contact hr@solicited.co.za
If you don’t hear from us within 2 weeks from the closing date, please consider your application unsuccessful. Should we have any other role that match your profile, we will contact you.
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Our quantitative risk work is usually required towards the end of project study phases which means that we have tight deadlines. A typical project ranges from 1 week for small projects and 4 weeks for large projects. We spend quite a lot of time collecting data from clients, which is then followed by the modelling process. Once the models are developed initial results are produced which are then discussed with the client. We often do re-runs of the models with changes received from the client. Once the client is satisfied with the results, a final report is developed.
The work does sometimes require analysts to work after hours to meet deadlines, but this is infrequent, and we try to manage client expectations to avoid unnecessary late nights.
We work from our offices in Centurion, but most of our analysts work from home for 2 or 3 days a week. We would therefore expect you to have a reliable internet connection and an environment that is suitable for attending and facilitating meetings. We have solar power at our offices and would expect you to attend or facilitate meetings from the office if you suspect your power at home may let you down.
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We have an opportunity for a Quantitative Risk Analyst to join our team as part of our graduate development programme. We would require this person to have the following skills and qualifications:
A BSc degree in Quantitative Risk Management, preferably at honours level, or a similar degree which covers statistics and financial mathematics.A thorough understanding of financial modelling.A thorough understanding of statistical methods, probability distributions, Monte Carlo simulations, and Markov processes.A good command of Microsoft Excel.Very good verbal and written communication skills.Excellent ability to work with clients to collect data and to explain model outcomes in simple terms.We do not require experience in actual project risk modelling, but it would be an advantage if you have experience in this area.
The following are not mandatory but will be advantageous:
Knowledge of R and/or Python.Programming experience in VBA or C#.
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