Oferta Pracy

Quantitative Developer (Python/C++)

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Wrocław (Hybrid) | Full-Time or B2B | Risk & PnL Systems | Front Office Environment

We are currently recruiting for a prestigious international client seeking a Quantitative Developer to join a high-performing global team. In this role, you will design and build innovative risk and PnL analytics systems from the ground up – with direct, measurable impact on multi-asset investment strategies worldwide.

This is an exceptional opportunity for a highly skilled engineer who wants to move beyond routine tasks and make a real difference in the financial world.

Why this role stands out:

1. Strategic impact and full ownership

Build bespoke tools and models to support risk assessment and PnL tracking across global asset classes.
Your solutions will directly inform high-stakes investment decisions – no legacy code, no maintenance work

2. Top-tier compensation

Earn up to 60,000 PLN/month, depending on experience.
Preferred contract: permanent employment (UoP) for full benefits and stability, but B2B is also an option.

3. Elite international team

Work directly with traders, quantitative analysts, and risk professionals at the top of their game.
A highly collaborative and intellectually stimulating environment.

4. Hybrid flexibility with premium office space

Hybrid setup with 3 days per week in our modern Wrocław office.
Relocation support available for candidates moving from other regions or countries.

Future opportunities: Warsaw & Kraków

In the coming months, we will also be opening new opportunities in Warsaw and Kraków for similar roles.

If you’re located in either city or open to relocation in the near future, we strongly encourage you to apply now – your application will be prioritized as soon as those positions go live.

What we’re looking for:

At least 5 years of experience as a Quant Developer or similar role.
Advanced Python programming skills are essential. C++ experience is a strong asset.
Solid understanding of risk modeling, pricing of financial instruments, and algorithmic optimization.
Experience in Front Office environments is highly valued.
Fluent English is required (working language).

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