1 month ago

Investment Banking Intern

Zetheta Algorithms Private Limited

Hybrid
Intern
$0
Hybrid
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Job Overview

Job TitleInvestment Banking Intern
Job TypeIntern
Offered Salary$0
LocationHybrid
Map of Hybrid

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Job Description

About the Company

ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools. https://www.instagram.com/zetheta.official/

About the Role

We are seeking a talented and motivated student intern for Debt Investment Banking role. This is an extraordinary opportunity for a self-driven, financially skilled student with an eye for excellence.

About the Internship

As a Debt Investment Banking Intern, you will work on 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. It is a high-impact, portfolio-building opportunity that provides 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 Modelling: 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 month (within a period of 4 months provided).
  • Type: Unpaid

Key skills/competency

  • Debt Investment Banking
  • Fixed Income Analysis
  • Financial Modelling
  • Risk Management
  • Artificial Intelligence in Finance
  • Quantitative Finance
  • Structured Finance
  • Credit Research
  • Microsoft Excel
  • Investment Banking

Tags:

Investment Banking
Internship
Debt Markets
Financial Analysis
Risk Management
AI in Finance
Quantitative Finance
Structured Finance
Fixed Income
Credit Research
Microsoft Excel
FinTech
Startup
Fresh Graduate
Self-paced

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How to Get Hired at Zetheta Algorithms Private Limited

  • Tailor your resume: Highlight analytical skills, finance knowledge, and AI interest.
  • Showcase relevant projects: Detail any financial modelling or data analysis experience.
  • Express enthusiasm: Clearly articulate your passion for investment banking and AI.
  • Prepare for simulations: Understand core concepts in fixed income and risk.
  • Demonstrate self-learning: Emphasize your proactive approach to learning new skills.

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