Software Engineer - Algorithmic Trading

About Us

We are a fast-paced proprietary trading startup focused on developing and deploying systematic, data-driven trading strategies. You will be a key early hire, responsible for translating our research into robust, low-latency, and scalable production code.

Responsibilities

The successful candidate will be a hands-on engineer focused on the entire trading system lifecycle, with specific focus on:

1. System Implementation: Own the end-to-end implementation of the strategy, translating precise, executable rules from our Python codebase into production-ready software.

2. Core Logic Development: Implement and optimize the multi-phase trading logic with the following examples but not limited to:
   - Develop real-time market regime checks to enforce trade conditions
   - Implement and optimize stock/crypto screening filters
   - Engineer trade execution logic.

3. Risk & Execution: Implement critical, tiered risk management logic.

4. Infrastructure & Data: Integrate with exchanges and data providers using efficient, low-latency communication protocols

5. Backtesting & Optimization: Enhance and maintain the backtesting framework to rigorously validate new strategy parameters and ensure the algorithm is robust across different market regimes and asset classes (stocks and crypto).

6. Innovate: Experiment with new ideas. Creativity is encouraged and rewarded.

Qualifications

1. Programming: Strong proficiency in Python and its scientific stack (NumPy, Pandas) is mandatory. Experience with other performance-oriented languages (C++, Java, Rust) is a plus.

2. System Design: Experience designing and maintaining reliable, fault-tolerant, and high-throughput software systems.

3. Data Handling: Proven ability to work with large historical and real-time market data feeds. Database Management is a plus

4. Finance & Quantitative Skills (Good to have): Solid understanding of financial markets, time-series data analysis, and technical indicators (SMA, EMA, ATR, Relative Volume)

5. Education: Bachelor's or Master's degree in Computer Science, Quantitative Finance, Mathematics, Physics, or a related field.

What's in it for you

1. Largely remote work (might be requested to work in person once in awhile)

2. Outstanding performance is rewarded with the opportunity to buy into the trading fund and grow alongside the firm

3. The firm will pour resources into your learning & development contributing towards the project

To apply for this email the Title of the role and your CV to the following email: