Middle Quantitative Developer (Python)

Toogeza; Deutschland; Vor Ort; EUR 100.000 - 125.000; Vollzeit

Zusammenfassung

A tech recruitment agency is seeking a Middle Quantitative Developer with 3-4 years of experience in building high-load, low-latency systems. This role involves developing Python-based trading infrastructure, tuning parallel systems, and working with large-scale data pipelines. Proficiency in scientific computing libraries, AWS, and databases is essential. Experience with messaging brokers and a solid foundation in algorithms and system design are also required. The position offers the opportunity to collaborate with quantitative researchers and traders in an innovative environment.

Qualifikationen

• 3-4 years professional Python development in high-performance environments.
• Expert in concurrency and parallel programming.
• Proficiency with scientific computing libraries: NumPy, Pandas, SciPy.
• Advanced skills in SQL and NoSQL databases; expertise with ClickHouse.
• Strong knowledge of AWS services.
• Solid foundation in algorithms, data structures, and system design.
• Comfortable with Linux, Docker, and Git.

Aufgaben

• Enhance execution platform and market data infrastructure.
• Design and implement connectors for exchanges.
• Perform latency profiling and code optimization.
• Develop Python-based trading infrastructure.
• Architect and scale systems on AWS.

Kenntnisse

Python development

Concurrency and parallel programming

Scientific computing libraries

SQL and NoSQL databases

AWS

Messaging brokers

Algorithms and data structures

Linux environments

Docker

Git

Tools

ClickHouse

NumPy

Pandas

SciPy

Kafka

RabbitMQ

ZeroMQ

Dask

Jobbeschreibung

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 minimal 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.

• Implement and tune parallel and concurrent systems, using frameworks such as multiprocessing, threading, asyncio, aiohttp, Dask, joblib.

• 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.