Quantitative Analyst

3 weeks ago

India Zetheta Algorithms Private Limited Full time

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: As a Quantitative Finance Intern, you will work on developing mathematical models for valuations, risk assessment, portfolio optimization, and derivatives pricing. You will have the opportunity to engage in multiple mini-projects across various quantitative finance domains. The internship is designed to provide practical exposure to quantitative methods in a FinTech environment.

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

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