Middle Quantitative Developer

il y a 17 heures


Eu, France Toogeza Temps plein

We are **toogeza**, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones.

Currently, we are looking for an experienced **Middle Quantitative Developer**.

**The Role**

We are seeking a **Middle Quantitative Developer** with **3-4 years of experience** in building and optimizing **high-load, low-latency systems**. This is a hands-on engineering role where you will:

- Enhance our **execution platform** and market data infrastructure.
- Design and implement connectors for new centralized and decentralized exchanges.
- Perform **latency profiling and code optimization** to achieve maximum throughput and mínimal jitter.
- Work with **large-scale data pipelines** to support real-time and historical analysis.

You’ll collaborate directly with quantitative researchers, traders, and other engineers to productionize models and optimize trading strategies.

**Responsibilities**
- Develop and optimize **Python-based trading infrastructure** for high-performance execution.
- Build and maintain **data pipelines** using **NumPy, Pandas, SciPy**, with storage in **SQL and NoSQL databases** (especially **ClickHouse**, PostgreSQL, Redis).
- Architect and scale systems on **AWS**, leveraging EC2, S3, Lambda, and related services.
- Design and integrate with **messaging brokers** (Kafka, RabbitMQ, ZeroMQ) for distributed trading workflows.
- Perform **latency analysis, profiling, and performance optimization** across trading components.
- Contribute to CI/CD, testing, and best practices in code quality.

**Requirements**:

- ** 3-4 years professional Python development** in **high-performance, high-load environments**.
- Expert in **concurrency and parallel programming** (asyncio, multiprocessing, threading, Dask).
- Proficiency with **scientific computing libraries**: NumPy, Pandas, SciPy.
- Advanced skills in **SQL and NoSQL databases**; deep expertise with **ClickHouse** or equivalent high-volume solutions.
- Strong knowledge of **AWS** (compute, storage, streaming, orchestration).
- Strong knowledge of **messaging brokers** (Kafka, RabbitMQ, ZeroMQ).
- Solid foundation in **algorithms, data structures, and system design**.
- Comfortable with **Linux environments, Docker, Git**.

**Nice to Have**
- Knowledge of **Go** for latency-critical modules.
- Experience with **C++/Rust** for ultra-low-latency systems.
- Familiarity with **time-series analysis, quantitative finance, or crypto trading**.
- Exposure to profiling and debugging tools (perf, flamegraphs, cProfile, PySpy).

**What’s next?**:
If this role sounds like a fit — we’d love to hear from you Just send over your CV and anything else you’d like us to consider.

We’ll review everything within **five working days**, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.



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