Sr. Backend Developer - Quantitative Algorithmic Trading Team

This position focuses on the development of backend components of algorithmic CTA and high-frequency trading systems.

You will be focusing on optimizations for performance and latency-critical high-frequency trading systems.

And also be co-working with quantitative trading strategy developers to implement the live high-frequency trading system and bring trading strategies online.

The main programming languages are Rust and Python.

About Us

Quantrend Technology focuses on building financial trading strategies across a variety of asset classes and global markets.

We empower the paradigm shift from traditional quant to AI quant by using modern end-to-end deep learning models.

The difference between traditional approaches and our proprietary solution is that our models can automatically extract robust and high-quality trading signals (Alphas), but traditional hand-crafted approaches often fail to do so.

We are a performance-driven company, seeking agile and talented people to join our team.

Our working environment is relaxed yet intellectually intense.

If you are a tech-savvy individual who enjoys the challenges of solving difficult technical problems in a fast-paced, energetic environment, then this is the role for you.

We value the contributions of trading strategy developers and offer lucrative dividends and annual bonuses to high-performance employees.

Responsibilities

1. Develop algorithmic CTA and high-frequency trading systems.

2. Implement trading risk management / alert systems.

3. Implement financial data preprocessing pipelines.

4. Implement trading data logger components and dashboards.

5. TCP layer latency tuning and advanced CPU instruction set/compiler optimizations

for HFT systems.

6. Build up CI / CD with Docker containers and Kubernetes on GCP and AWS.

7. Write unit tests and integration tests.

Requirements

1. Bachelor's degree in computer science or equivalent experience.

2. Solid backend system implementation experience.

3. Expert-level knowledge of algorithms, design patterns, OOP, threading,

multiprocessing, etc.

4. Knowledge of design and implementation of high-availability, high-throughput, and

low-latency backend components.

5. 3+ years of experience with Rust / Golang / Python, or other programming

languages, like C/C++, C#, Java, and Node. JS.

6. Familiar with SQL databases and NoSQL databases (like MongoDB).

7. Familiar with REST API and WebSocket.

8. Familiar with microservices, Docker containers, Kubernetes, and CI/CD.

9. Familiar with Git, software engineering, and agile software development.

10. Strong writing and verbal communication skills, ability to express complex concepts

in simple terms.

11. Excellent analytical and problem-solving skills and extremely detail-oriented.

12. Self-motivated and fast-paced learner.

Nice to Have

1. Bachelor's degree in financial engineering.

2. Experience and in-depth knowledge of financial markets.

3. Experience in algorithmic trading and machine learning algorithms.

4. Experience with ReactJS, Redux, WebPack, or other modern front-end development

skills.

5. Experience with building web-based data dashboards.

Interview process

1) HankerRank online test (Coding Skill Test, Backend Test).

2) In person interview.