Quantitative Capital Management · Johannesburg
Conjecture Capital transforms immense market data into investable intelligence — for the sole purpose of optimising risk-adjusted returns for discerning investors.
We seek to heighten returns through machine learning-informed, sustainably optimised performance from actively traded financial instruments — continually benchmarked against hedge fund and mutual fund returns, with the explicit target to outperform.
Our edge is systematic, not discretionary. Every decision is driven by probabilistic signal generation, statistical validation, and strict downside controls — not instinct, timing, or favourable market windows.
A fully operational, production-grade quantitative trading platform deploying capital in live stock markets. Built on a proprietary machine learning architecture — trained on market microstructure data — with institutional-grade risk controls, full audit trails, and daily performance reporting. Currently generating returns on founder capital with a demonstrated track record since inception.
A next-generation payment and liquidity platform targeting underserved African cross-border trade corridors. Designed to compress settlement times, reduce capital lock-up, and open institutional-grade FX access to the SME market. Built compliance-native for SARB, FSCA, and AML/KYC requirements from the ground up.
Proprietary capital grew from R165,000 to over R300,000 — nearly 100% — in six months without leverage. The model performed through volatility, consolidation, and regime shifts, attributing growth to systematic execution and probabilistic edge rather than timing or market momentum.
Had the strategy been deployed on R5 million at inception, R4.63 million in nominal returns would have been generated across the same period. We are now opening access to qualified investors ahead of institutional capacity constraints.
Prototype results achieved on proprietary founder capital. Past performance is not indicative of future results. For qualified investors only.
If edge disappears, we don't trade. That discipline is what protects capital long-term.
— Conjecture Capital, Investment Doctrine
Holds two BSc degrees in Computer Science, with professional experience spanning DevOps engineering and data science in commercially focused environments. Designed, deployed, and monitored production systems at scale — including API infrastructure, automated pipelines, and high-availability platforms.
Transitioned into data science focused on large-scale ML model development for pattern recognition, pricing optimisation, and revenue intelligence. Now applies the same rigour to financial markets — quantitative strategy research, signal generation, risk modelling, and full-stack trading system architecture.
Chartered Accountant (CA(SA)) with an International Executive MBA. Over 16 years of post-articles corporate and commercial finance experience, including 8 years supporting C-Suite executives. Previously headed group commercial finance at the JSE, providing strategic support to the group CFO and CEO's office for financial results reporting to markets and shareholders.
Prior role in the CFO's office at Old Mutual Insurance. Deep competency in capital allocation, investment optimisation, advanced valuations, FSCA compliance, and cross-border deal structuring across financial services, energy, transportation, and FMCG sectors.
Conjecture Capital accepts a select number of investor mandates. We trade your capital systematically — with the same discipline, risk controls, and reporting standards applied to our own. Minimum investment of R1,000,000. Introductions by application only.