People
Meet The Team

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.

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..

Karin Grobler
Director, MSc Business Mathematics & InformaticsKarin Grobler, Director at Analytix Engine, brings 14 years of analytics and credit risk experience within the banking sector. She has worked across the full credit lifecycle, applying her expertise to credit risk, collections, and cashflow modelling for both secured and unsecured products. Karin has played a key role in credit product design and development, as well as the execution of operational strategies that drive measurable business impact. Her strength lies in translating complex data into actionable strategies that support smarter, faster decision-making across the credit function.

Leigh Baker (UK)
Credit Risk Director , BSc (Hons) Maths & EconomicsOur 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.