The Equalified Financial Data Strategist (EFD) is Equalifi’s advanced professional designation for professionals who turn financial data into better decisions. It develops the ability to source, govern, analyse and model financial data, apply statistics, machine learning and generative AI to real business problems, and lead data and analytics initiatives responsibly within a regulated financial institution.
The curriculum covers the data-driven financial services landscape, market and corporate data, data governance and architecture, spreadsheet modelling, SQL, Python, statistics, time series and econometrics, data visualisation and business intelligence, portfolio, risk, credit and customer analytics, machine learning and deep learning, text analytics and generative AI, alternative data, financial crime analytics, regulation and data protection, model risk management and responsible AI, data strategy and emerging trends.
The EFD assesses practical capability, not only recall. The designation is earned in three levels: an MCQ examination, an applied analytics project and a viva. Together, these test a candidate’s ability to frame a business problem, work with real financial data, build and validate an analytical model, present insights clearly, and handle the data-privacy, model-risk and ethical questions that arise in practice. The designation is intended for professionals working in banks, NBFCs, asset managers, wealth firms, insurers, fintechs, consulting firms and regulators.