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PUBLIC INVESTMENT CORPORATION
Public Investment Corporation SOC Ltd
Private Bag X187
Pretoria 0001
Republic of South Africa
The Public Investment Corporation SOC Limited (PIC) is an asset management firm, whose mandate is to make investments in various sectors of the economy on behalf of public sector entities. Amongst our clients are the Government Employees Pension Fund, the Unemployment Insurance Fund and the Compensation Fund. Over the years, we have grown to be amongst the top and largest investment managers in South Africa and the rest of the African continent, with current assets under management at over R3.6 trillion. At the centre of our growth is a team of self-driven professionals who are results-focused.
We are currently seeking applications from dynamic individuals for the following position:
QUANTITATIVE SPECIALIST
Salary: All-inclusive remuneration package negotiable
Centre: Public Investment Corporation, Pretoria
*Job Grade: E1 – E4
Ref: QSP002
Purpose of the role:
As part of the Research and Innovation team the candidate will undertake quantitative models and provide information and investment ideas to the Head: Research & Innovation and Investment teams.
Requirements:
· Postgraduate degree with specialisation in the quantitative discipline (quantitative finance, mathematics, statistics, data science, financial engineering, computer science, etc).
· Master’s degree/CFA/CAIA/FRM would be advantageous.
· 8 - 10 years’ experience in quantitative research & modelling, portfolio construction & optimisation, advanced data analytics, data management & automation and predictive modelling.
· Extensive experience in the use of artificial intelligence and machine learning within the financial services industry (asset managements, banking, insurance, etc.)
Duties:
· Build mathematical, statistical, and computer (artificial intelligence)-driven models to optimise portfolios, manage risk, analyse asset classes, and generate investment alpha.
· Research investment opportunities and analyse trends in various asset classes.
· Develop strategic asset allocation framework for unlisted investments to ensure that PIC delivers on its dual mandate of financial returns and socioeconomic impact.
· Collect, clean, and manage unlisted investment data, and automate processes and reporting.
· Implement and manage systems that support asset allocation decision-making at the PIC.
· Generate innovative investment ideas and solutions using quantitative tools, artificial intelligence and machine learning.
· Build automated dashboards that summarize portfolio investment performance and individual asset performance.
· Test and implement risk models to measure the impact of the investable ideas generated by the division.
· Support portfolio managers, fund principals, risk teams, and investment committees by developing quantitative tools, building optimization frameworks, pricing financial instruments, analyzing market data and fund styles.
· Lead, manage, mentor and develop direct reports within the team.
Competencies and skills:
· Financial analysis and interpretation
· Quantitative analysis
· AI and ML tools
· Data analytics
· Process automation
· Financial modelling
· Innovation
· Model building
· Sector specific research
· Maintain, develop and update fundamental models
· Presentation skills
· Communication skills
· Strong analytical skills
· Strong numerical skills
· Should possess technical skills Python, Pyspark, ARIMA, R, MATLAB, databricks, LSTM/deep learning, Random forecast, K-means, XG Boost, amongst others.
· Must possess the desire and ability to work in a collaborative and intensive team-orientated environment within an established investment process.
· Self-starting personality with keen attention to detail, who can work independently. Open-minded thought process and innovative idea generation.
· Must possess the desire and ability to work in a collaborative and intensive team-orientated environment within an established and successful investment process.
Our firm values diversity and excellence, and is committed to realising these across all operations and investment activities. If you are dynamic, resilient, agile, disciplined and eager to be part of a team that is focused on creating meaningful change, you are encouraged to apply for this position.
Closing Date: 30 October 2026
* Grade Range: The grade range for this position is from E1 – E4, commensurate with applicable minimum requirements.
The PIC is an equal opportunity employer and aligns appointments with its Employment Equity Plan.
Please forward a copy of your comprehensive curriculum vitae to: Recruitment4@pic.gov.za
Privacy Notice: By submitting your application, you consent to the PIC processing your personal information as per applicable laws and the PIC Privacy Policy available on the PIC website (www.pic.gov.za). You are free to withdraw your consent at any time, after which, the PIC may cease processing your application.