Our team
Different disciplines. One standard of evidence.
Datatricx brings together practitioners across investment strategy, quantitative analysis, data engineering and stakeholder engagement—aligned around the financial decision each model must support.
Deep expertise. Broad perspective.
Practitioner-led. Interdisciplinary by design.
Complex financial decisions rarely sit within a single discipline. They require investment judgement to frame the question, quantitative methods to formalise uncertainty, dependable data systems to support the analysis, and clear interpretation to make the output usable.
At Datatricx, these perspectives meet within one modelling process. The objective is not complexity for its own sake, but the right analytical structure for the decision at hand.
The practitioners
Expertise aligned around the decision.
Each engagement draws on the combination of skills required by the decision, the model and the people who must rely on its output.
01/07— 7 practitioners
Managing Director
Lungiswa Seyephu
Chief Investment Strategist
Luke Munkombwe, CFA
Senior Quantitative Analyst
Proficiency Munsaka
Quantitative Analyst
Justice Sianchali
Data Engineer
Zonke Mbonambi
Investor Relations
Prince Chisor
Data Analyst
Sidanile Nyathi
Focused practitioner: Lungiswa Seyephu, Managing Director
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Managing Director
Lungiswa Seyephu
Leads Datatricx’s strategic direction, client engagements and delivery standards, keeping each modelling assignment commercially relevant, well governed and decision-focused.
Chief Investment Strategist
Luke Munkombwe, CFA
Frames investment and capital-allocation questions, connects market and portfolio judgement to model architecture, and translates quantitative evidence into decision-ready strategy.
Senior Quantitative Analyst
Proficiency Munsaka
Leads complex model design, analytical testing and interpretation, turning financial relationships, constraints and uncertainty into robust quantitative frameworks.
Quantitative Analyst
Justice Sianchali
Builds and tests quantitative models, validates calculations and data, and develops transparent analysis for valuation, allocation and risk decisions.
Data Engineer
Zonke Mbonambi
Designs reliable data pipelines and model-ready structures so that inputs remain traceable, consistent and dependable across analytical workflows.
Investor Relations
Prince Chisor
Connects Datatricx’s analytical work with clients and stakeholders, clarifying needs, coordinating communication and making model outputs accessible to their intended users.
Data Analyst
Sidanile Nyathi
Prepares, interrogates and validates data, identifies meaningful patterns and supports the evidence base used in modelling and decision analysis.
How the team works
One model. Multiple lenses. Clear accountability.
Different disciplines are brought into one traceable delivery process, with responsibility and independent challenge made visible throughout.
Frame the decision
Establish the decision, constraints, intended users and governance context.
Formalise the structure
Translate assumptions, relationships and uncertainty into an explicit model architecture.
Build and challenge
Develop the model, validate the data and test sensitivities, limitations and failure points.
Translate the output
Convert the analysis into a clear, usable decision framework with visible accountability.
Technical depth matters. So does knowing which questions to ask, which assumptions to challenge and when a method is inappropriate.
Work with Datatricx
Bring us the decision.
Tell us what must be decided, what evidence already exists and where uncertainty remains.