What I do

As a subject-matter expert I cover these topics.

Corporate banking

  • Organizational process and management rationale of corporate banking: context of credit risk management, credit risk assessment and segmentation of customer relationships, the conceptual foundations of credit risk management, organizational aspects and the corporate lending process.

  • Valuation tools for loan origination to businesses: sector and business competitive diagnosis, exposure monitoring: credit registers (“Centrale dei rischi della Banca d'Italia”), fundamental and debt analysis.

  • Corporate lending transactions: the logic of funding decisions from the business and the bank's perspective, financing cash, working capital, fixed assets and contractual requirements.

  • Corporate finance: financial statement analysis, financial decision making processes (present value and NPV), investment decision rules, valuing projects and firms (precedent transactions, comparable analysis, DCF and LBO analysis).

  • Quantitative methods: basics of statistics (using Excel) and EDA, basic inference methods, regression, analysis of variance, simulation methods, bayesian modelling and Montecarlo methods (using R).

Risk management & bank regulation

  • Interest rate and liquidity risks: repricing and duration gap, cash-flow mapping, internal transfer rates and liquidity risk.

  • Market risks: variance-covariance approach, models for estimating volatility, simulation models and evaluating VaR models.

  • Credit risks: scoring models (discriminant, logistic regression analysis, etc.), capital markets-based models, recovery and loss given default risks, credit rating systems (assignment, quantification and validation), portfolio models, counterparty risks.

  • Operational risks: definition, measurement and management; bank regulation: Basel capital accord, capital requirements on market, credit and operational risks.

  • Quantitative methods (using R) on forecasting time series (time series features, decomposition, regression models, supervised and unsupervised machine learning models, exponential smoothing, ARIMA models, dynamic regression models) and data analysis (data visualization, EDA, data manipulation, modelling and presentation —using Rmarkdown for documentation and replicability).

Securities & asset management

  • Financial markets, portfolio theory (Markowitz and Black-Litterman models), CAPM, asset/liability management.

  • Stock analysis and portfolio management: equity portfolio management, fundamental analysis, forecasting earnings, indexing, DDMs, equity style management, equity trading, index futures and options in investment management, equity option pricing models.

  • Fixed-income analysis: fixed-income securities, bond pricing and volatility, bonds with embedded options, fixed-income management strategies, liability funding strategies, interest rate futures and options in investment management, swaps, caps and floors.

  • Asset allocation and performance evaluation: asset allocation —strategic and tactical asset allocation, asset allocation optimization models (Markowitz and Black-Litterman), measuring and evaluating performance.

  • Behavioral finance: biases, irrational behavior and human decision making processes.

  • Macroeconomics: goods and financial markets, the IS-LM model, the labor market, Philips curve, natural rate of unemployment and inflation, financial markets and expectations, open economy and interest and exchange rates, fiscal and monetary policy.

  • Statistical concepts (using R and Excel).

Investment banking

  • Underwriting and advisory services.

  • IPOs and equity offerings: structure, process, syndicate functions, price setting mechanics.

  • Debt offerings: bond issues, credit ratings, securitization, syndicated loans.

  • M&A transactions: process, synergies, consideration, risk management (earnouts, CVRs, collars), sell-side transactions — auctions, process, first and second round, negotiations, closing— and buy-side transactions —motivation, acquisition strategies, forms of financing, deal structure buy-side valuation, merger consequences analysis and LBO analysis.

  • LBOs: key participants and main characteristics of LBO targets, economics of LBOs, exit strategies, financing structure and primary sources of funding.

  • Hostile takeovers: preemptive defense, reactive defense, defense tactics, takeover regulation.

  • Corporate restructuring: financial distress, debt restructuring, stock break-ups.

  • Private equity: agreement, management fees and carry, fund returns, the term sheet, venture capital method.

  • Equity capital markets and derivatives: main instruments, ECM products, convertible bonds, hedging and yield enhancing strategic stakes, disposal of strategic stakes, equity derivatives in M&A transactions, stock options plans hedging, equity financing and share buybacks.