Software Engineer - Algorithmic Trading

VERIFIED7 PTE. LTD.; Singapore; Hybrid; SGD 80,000 - 100,000; Full time

Job summary

A proprietary trading startup in Singapore is seeking a Trading System Engineer to take ownership of trading strategy implementations. You will work on developing trading logic, managing risks, and integrating data systems. The ideal candidate should have strong Python proficiency and experience with financial data. This role offers largely remote work with opportunities for professional growth, including a chance to buy into the trading fund. Apply by sending your CV to the provided email.

Benefits

Largely remote work

Opportunity to buy into trading fund

Resources for learning and development

Qualifications

• Proficiency in Python and its scientific stack is mandatory.
• Experience with designing fault-tolerant software systems.
• Ability to handle large historical and real-time data feeds.

Responsibilities

• Own end-to-end implementation of trading strategies.
• Develop multi-phase trading logic and optimize it.
• Implement tiered risk management logic.
• Integrate data from exchanges and data providers.
• Enhance backtesting frameworks for validation.
• Encourage innovation and creativity.

Skills

Strong proficiency in Python

Experience with C++, Java, or Rust

Ability to work with large data feeds

Solid understanding of financial markets

Education

Bachelor's or Master's degree in Computer Science or related field

Job description

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 optimise 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 optimise 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:

[e-mail]