1. Role overview

We are a proprietary trading desk running medium-frequency algorithmic strategies in index and stock options, with holding periods from intraday to a few days.

1. Responsibilities

Platform, data and production

- Build and maintain infrastructure to support quantitative trading strategies

- Design, develop, and enhance the firms central backtesting platform

- Develop systems that provide easy, highly efficient access to historical market data and trading simulations

- Build risk-management and performance-tracking tools

- Work with trading / market data APIs

- Production monitoring and automation of daily tasks

Research and strategy

- Develop and enhance trading models using our in-house platform

- Back-test ideas using historical tick-by-tick data

- Research automated trading strategies using a range of historical data, price and volume inputs

- Research portfolio construction and risk allocation techniques

- Evaluate strategy performance, make improvements, and scale up successful strategies

- Develop predictive models for market movements

- Partner with portfolio managers and quantitative analysts to understand use cases and support research workflows

1. Skills required mandatory

- A degree in a highly analytical field Computer Science, Engineering, or Mathematics or proven hands-on experience of equivalent depth

- Proficiency with Python- knowledge of NumPy, Pandas / Polars, Cython and other Python data-science frameworks

- Excellent software development skills: the ability to convert rough overall use-cases into a working codebase





- Experience working with large datasets and time-series data

- Experience with NoSQL / SQL databases such as MongoDB and PostgreSQL

- Knowledge of FastAPI, Flask, or Docker

- Experience with version control, testing frameworks, and code review processes

- Clean code practices, SOLID principles, and architecture patterns, applied to deliver robust and extensible systems

- Solid troubleshooting and problem-solving abilities
- The ability to manage multiple tasks in a fast-paced environment

1. Skills required preferred

A strong plus, and what will distinguish two otherwise comparable candidates.

- Systematic research that reached production and touched real money as a quant researcher, a systematic PM, or quietly both.

- Previous experience in alpha research and the development of trading signals and strategies

- Knowledge of financial markets, backtesting, risk models, performance attribution, or applied statistical techniques
- A strong foundation in probability, statistics, and quantitative modelling

- Experience with trading or market-data APIs broker or exchange integration, feed handling, or order placement

- Experience with Linux / Unix shell scripting

1. Nice to have

- Experience with alternative data research

- Familiarity with feature engineering and alpha factor research

- Knowledge of derivatives pricing and volatility modelling

- Experience using cloud or distributed computing for large-scale research

- Publications, Kaggle achievements, or open-source contributions related to quantitative finance or machine learning

📌 Quantitative Developer Trading Systems (Ahmedabad)
🏢 monarch networth capital
📍 Ahmedabad