Quantitative Python Developer

At Syberry, we believe that great software starts with a simple principle: being a strategic partner who helps clients achieve their goals.

We are a global team that builds custom software for industries ranging from finance to healthcare. Our mission is to raise the bar for the entire software industry, thas's why we invest in strong engineering practices, automation, and clear processes to make our work predictable, efficient, and meaningful.

Join us as a Quantitative Python Developer to drive cutting-edge solutions while growing in a collaborative, forward-thinking environment.

The Project

We are building a financial platform that will research and run systematic trading strategies.  We collaborate with the quant team on strategies research, risk modeling, and portfolio optimizations. Our software engineering team embeds the corresponding logic into the platform. Similar systems already exist on the market, but quants need to use several of them to research and run trading strategies. Our client’s idea is to build a system that can do it all.

You can learn more about the project in our case studies

Responsibilities

• Review and validate outputs from financial processes, offering first-level insights and identifying drivers behind the results

• Highlight areas needing further validation or with interesting implications, and perform ad hoc analyses to deepen understanding

• Work with quant analysts to design and implement business logic, bridging the gap between technical development and domain expertise

• Solve business problems after liaising directly with shareholders and implement resulting engineering solutions

• Take full ownership of the end-to-end delivery process, from idea to stable production deployment

• Present your work during demos, clearly explaining the business value delivered

Requirements

Domain Expertise:

• Experience in a finance-oriented company (e.g. bank— ideally on the markets side, asset manager, hedge fund, proprietary trading firm, or fintech)

• Exposure to Risk, Front Office, Quant Research, or Methodology roles is highly valued

• Solid understanding of at least one asset class, or broad familiarity across multiple instruments

• Comfortable working with statistics, time series, and basic financial mathematics

Technical Skills:

• Python background, especially with pandas and data processing

• Experience writing production-level code, or a strong understanding of clean, pythonic design principles and the motivation to adhere to best practices

• Working knowledge of SQL, APIs, and testing frameworks like Pytest

• Experience with Linux, and familiarity with multithreading / multiprocessing is a plus

• Understanding of object-oriented or functional programming, or willingness to adapt to a new paradigm

• Comfortable working in fast-paced environments with direct stakeholder interaction and quick delivery cycles

Availability:

• Availability until 7 PM (Poland time) at least 3 days a week for crossover with client located in NY

Benefits

• Direct influence on the product. Your ideas and contributions shape the roadmap and outcomes

• Collaboration with experienced Wall Street professionals. Gain insights and grow alongside domain experts

• Lean processes, minimal overhead. Focus on delivering value, not navigating bureaucracy

• Small, agile teams. Work closely with talented peers in a high-impact environment

• B2B employment model with:

  20 paid workdays off per year

  3 paid sick days

• Ongoing education through Syberry Academy. Develop your skills with company-supported learning opportunities

• Remote-friendly culture. Choose the setup that works best for you: fully remote, hybrid, or in-office

• Team and corporate events. We value connection and fun, with regular team-building and company-wide celebrations

• Financial support for key life events. Because we care about you beyond the job