Investment Banking Intern
Zeta Theta Algorithms Private Limited is a FinTech start-up, recently established and developing innovative AI tools.
About the Role
We are seeking a talented and motivated student intern for Debt Investment Banking role, an extraordinary opportunity for a self-driven, financially skilled student with an eye for excellence.
About the Internship:
This internship offers cutting-edge projects involving Debt Investment Banking with simulations. You will engage with real-world financial projects spanning fixed income, structured finance, risk management, and artificial intelligence applications in finance. You will have the opportunity to engage in multiple mini-project simulations across a large number of functional areas, providing valuable industry experience.
Key Responsibilities:
• Fixed Income Analysis Valuation: Calculate Yield to Maturity (YTM) and assess returns on different types of fixed-income securities. Determine Present Value (PV) of securities and assess market pricing strategies.
• Debt Investment Strategies: Compare different investment options, including direct corporate bonds, non-convertible debentures (NCDs), and debt mutual funds.
• Risk Portfolio Management
• Macaulay Effective Duration: Assess interest rate risks in structured finance instruments, considering prepayment risk.
• Interest Rate Risk Convexity: Quantify bond price sensitivity to market changes.
• Value at Risk (VaR): Develop machine learning models to estimate portfolio risk.
• Virtual Risk Analyser: Evaluate AI-driven risk profiling tools for investors.
• Credit Research Risk Analysis
• Credit Research on Sovereign Bonds: Clean and economic data to assess Sovereign risk profile.
• Probability of Default Modelling: Build AI-driven models to predict corporate bond defaults.
• Quantitative Finance AI in Debt Markets
• Zero-Coupon Yield Curve: Construct and analyse yield curves from market data.
• AI in Microsoft Excel: Understand tools to enhance financial modelling.
• Investment Banking Structured Finance
• Credit Spread Analysis: Examine spreads between investment-grade and high-yield corporate bonds.
• Asset-Backed Securities (ABS): Evaluate risks and returns of different ABS types (credit cards, auto loans, etc.).
• Project Finance Modeling: Determine optimal bond issuance for a solar power project.
What You Will Learn:
• Practical exposure to debt investment banking with multi-functional area experience.
• Strong analytical and financial modelling skills through simulations.
• Enhanced presentation and communication skills.
• Knowledge of AI applications in finance.
Who Should Apply?
• Student of fresh graduate from any academic discipline.
• Strong analytical and problem-solving skills.
• Basic knowledge of Microsoft Office.
• Willingness to self-learn and work in a fast-paced environment.
Internship Details:
• Duration: Self-paced, option for 1 month or 2 months (within a period of 4 months provided).
• Type: Unpaid.
Apply Now
About the Role
We are seeking a talented and motivated student intern for Debt Investment Banking role, an extraordinary opportunity for a self-driven, financially skilled student with an eye for excellence.
About the Internship:
This internship offers cutting-edge projects involving Debt Investment Banking with simulations. You will engage with real-world financial projects spanning fixed income, structured finance, risk management, and artificial intelligence applications in finance. You will have the opportunity to engage in multiple mini-project simulations across a large number of functional areas, providing valuable industry experience.
Key Responsibilities:
• Fixed Income Analysis Valuation: Calculate Yield to Maturity (YTM) and assess returns on different types of fixed-income securities. Determine Present Value (PV) of securities and assess market pricing strategies.
• Debt Investment Strategies: Compare different investment options, including direct corporate bonds, non-convertible debentures (NCDs), and debt mutual funds.
• Risk Portfolio Management
• Macaulay Effective Duration: Assess interest rate risks in structured finance instruments, considering prepayment risk.
• Interest Rate Risk Convexity: Quantify bond price sensitivity to market changes.
• Value at Risk (VaR): Develop machine learning models to estimate portfolio risk.
• Virtual Risk Analyser: Evaluate AI-driven risk profiling tools for investors.
• Credit Research Risk Analysis
• Credit Research on Sovereign Bonds: Clean and economic data to assess Sovereign risk profile.
• Probability of Default Modelling: Build AI-driven models to predict corporate bond defaults.
• Quantitative Finance AI in Debt Markets
• Zero-Coupon Yield Curve: Construct and analyse yield curves from market data.
• AI in Microsoft Excel: Understand tools to enhance financial modelling.
• Investment Banking Structured Finance
• Credit Spread Analysis: Examine spreads between investment-grade and high-yield corporate bonds.
• Asset-Backed Securities (ABS): Evaluate risks and returns of different ABS types (credit cards, auto loans, etc.).
• Project Finance Modeling: Determine optimal bond issuance for a solar power project.
What You Will Learn:
• Practical exposure to debt investment banking with multi-functional area experience.
• Strong analytical and financial modelling skills through simulations.
• Enhanced presentation and communication skills.
• Knowledge of AI applications in finance.
Who Should Apply?
• Student of fresh graduate from any academic discipline.
• Strong analytical and problem-solving skills.
• Basic knowledge of Microsoft Office.
• Willingness to self-learn and work in a fast-paced environment.
Internship Details:
• Duration: Self-paced, option for 1 month or 2 months (within a period of 4 months provided).
• Type: Unpaid.