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A leading investment management organisation is looking for a Quantitative Specialist who can put artificial intelligence and machine learning to work on real investment decisions. Based in Wolmer and recruited through Fempower Personnel, this permanent senior role suits someone with eight to ten years of quantitative experience who is comfortable turning large, complex data sets into clear, practical recommendations.
The employer is a leading investment management organisation, and the recruitment is handled by Fempower Personnel. The work sits at the meeting point of finance and data science: applying AI and machine learning techniques inside financial services, investment management, asset management, banking or a related quantitative environment to solve complex business and investment challenges. It is a senior, permanent position, and the salary is not disclosed in the listing.
The specialist designs and puts into place AI and machine learning solutions that support investment decision-making, and builds the quantitative models and predictive analytics behind them. The role also covers portfolio optimisation and risk management frameworks, advanced data analysis to spot investment opportunities and trends, and innovative data science and automation solutions. A key part of the job is translating complex quantitative findings into recommendations that business decision-makers can act on, while supporting wider strategic research and innovation work.
The listing states the following. Only what the source states is listed here, and where the visible listing is cut off, readers should check the original advert for the complete wording.
The desired skills shown are Algorithms, C, Matlab, Python, REST and PySpark, and the desired qualification level shown is Honours.
This vacancy is advertised on CareerJunction, and the safest way to apply is through the Apply button on this page, which leads to the original CareerJunction listing (reference 1b702526-d6cc-4). Apply only through that original listing, and never pay anyone to be considered for a role.
Lead with evidence of AI and machine learning models you have actually developed and deployed in a commercial setting, not just studied. Highlight portfolio optimisation or risk modelling work, and name the tools you used, such as Python, PySpark or Databricks, with a short note on the outcome. Because the role involves explaining complex findings to non-specialists, include an example of a recommendation you made that changed an investment or business decision.
Applications are made through the original CareerJunction listing linked from the Apply button on this page. The recruiter reviews applications against the stated requirements, including the postgraduate qualification and the eight to ten years of quantitative experience, and shortlisted candidates are then contacted about the next steps. The listing does not state a closing date beyond its expiry window, so applying promptly is wise.
This page is an informational summary of the vacancy as advertised; it is not the employer’s own application page and it is not a job offer. The salary is undisclosed in the listing. Some wording in the original listing is truncated in places, so check the original advert for the complete requirements before you apply.
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