Tim Bowler

Background

About Tim Bowler

I am a risk management and data science executive with 15+ years of proven experience analyzing and mitigating risk and protecting assets for global financial institutions. I specialize in statistical inference, regression models, and practical machine learning in Python and R. My domain knowledge covers financial risk management, valuations, regulatory compliance and regulatory capital stress-testing with a strong track record of delivering results for global capital markets firms. Focus areas include portfolio and structured transaction valuation, trading portfolio valuation and stress-testing, regulatory capital thresholds, minimum capital ratios, and comprehensive P&L attribution. Product knowledge encompasses the broad spectrum of fixed income, equity and structured products, as well as energy and base metal commodities. Competencies: data science, machine learning, Python/R, global markets risk management, quantifying, monitoring & managing risk, regulatory capital stress-testing, margin & capital requirements, comprehensive P&L attribution, regulatory compliance, risk-mitigating hedging, counterparty credit risk management, countercyclical capital buffers