People

Meet The Team

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Pravin Burra

Founder/Director, BSc Actuarial Science, LSE (UK), FASSA, CERA, FRM (GARP)

As the Founder and Director of Analytix Engine, Pravin Burra brings over 25 years of analytics expertise to the forefront. Trained as an actuary, Pravin has a deep-seated passion for optimizing models to enhance value and mitigate risk. He is a dedicated advocate for robust model governance, firmly asserting that models should serve as essential tools to inform business decisions while recognizing their limitations when making decisions in isolation. Pravin's impressive background includes being a director and partner at a prominent Big 4 audit firm and previous leadership as the Head of Customer Analytics at a leading retail bank.

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FC De Vos

CEO(South Africa)/Founder, BSc (Hons) Actuarial Science, FIA, FASSA

An accomplished actuary and data scientist with a distinguished career spanning over 17 years, FC de Vos boasts an impressive portfolio of credentials from IFoA, ASSA, Google, IBM, and DataRobot. Prior to founding Analytix Engine, FC held senior management positions at industry giants Deloitte and Standard Bank, where expertise in harnessing Analytix for client value set the stage for a remarkable journey as the CEO and founder of this innovative enterprise.

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Nicholas Glover

Director, MSc Mathematical Statistics, CFA Charterholder (CFA Institute), PRM (PRMIA)

With over 15 years of experience in financial services our Director Nicholas Glover, has extensive experience in model development and validation. Proficient in Python, SQL, SAS, and VBA, Nicholas specializes in data science, credit risk management, statistics, risk management, and analytics. He has been a key contributor in IFRS 9 and Basel Credit Risk Model development across retail and wholesale portfolios.

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Leigh Baker (UK)

Credit Risk Director , BSc (Hons) Maths & Economics

Our experienced UK based Risk Director Leigh Baker, has over three decades of experience in risk modeling, and offers a versatile skill set spanning diverse lending asset classes, extensive expertise in SAS, R, and Python, and a keen understanding of the commercial, executive, and regulatory aspects of model development.