Quantitative Analyst

About the Company

Zetheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools.

About the Role

We are seeking a talented and motivated student intern for a Quantitative Finance Analyst role. This is an extraordinary opportunity for a self-driven, mathematically skilled student with a passion for applying quantitative methods to financial problems for our autonomous AI-driven investment advisory platform.

About the Internship:

Key Responsibilities

As part of the internship, you will work through a structured set of assignments designed to enhance your understanding of quantitative finance principles and applications. Your primary responsibilities will include:

Quantitative Model Development

• Implement Modern Portfolio Theory models
• Develop factor models for asset pricing
• Create time series models for market prediction
• Build stochastic models for risk analysis

Risk Metrics Implementation

• Develop VaR (Value at Risk) calculations
• Create stress testing frameworks
• Implement Monte Carlo simulations
• Build risk attribution models

Alpha Research

• Design statistical arbitrage strategies
• Develop momentum and mean-reversion models
• Create factor-based trading strategies
• Implement technical indicator frameworks

Portfolio Optimization

• Develop efficient frontier optimization
• Create Black-Litterman model implementation
• Build risk parity portfolio construction
• Implement factor-based allocation strategies

Capstone Project

• Complete an end-to-end quantitative finance project including: Model development, Backtesting framework, Performance analysis, and Strategy implementation

What You Will Learn

• Practical experience with quantitative finance models
• Statistical methods for financial markets
• Portfolio optimization techniques
• Risk modeling and management
• Strategy development and backtesting

Who Should Apply?

• Student or fresh graduate from any discipline
• Strong mathematical and statistical skills
• Knowledge of programming (Python, R, Advanced Excel or similar)
• Understanding of financial markets concepts
• Willingness to self-learn and work in a fast-paced environment

Internship Details

Duration: Self-paced. Option of 1 month or 2 months within a period of 4 months provided.

Type: Unpaid