Senior C++ Software Engineer for Proprietary Trading Technology

We are recruiting for our client, an elite alternative investment firm where high-performance, low-latency technology is the core of their strategy.

This global macro firm trades across all major asset classes (commodity, FX, equity) by combining deep market insight with a purely quantitative, data-driven process. You will not be maintaining old systems; you will be a key builder of their proprietary trading technology and advanced statistical models, leveraging massive in-house data sets. This is a high-impact role within a dynamic, entrepreneurial culture, perfect for an engineer with a passion for complex problem-solving and an intellectual curiosity about financial markets.

For this client, we are looking for: C++ Developers

The successful Software Engineer will be building brand new, greenfield trading infrastructure from the ground up. This is an opportunity for a C++ programmer to work with Modern C++ (C++20/23) on all-new systems, with no "maintenance nightmares" on legacy code.

• You will work directly with the lead developer in Vienna as their primary backup, taking ownership of new projects and building out the full "tick to trade" pipeline.
• This includes market data, Order Management Systems (OMS), Portfolio Management Systems (PMS), risk analytics, and electronic trading systems.
• Frequent interaction with senior quants and management is required, so strong communication and collaboration skills are essential.
• We are looking for a self-motivated individual who can take the lead and work independently.

Requirements:

• 4-8+ years of professional development experience in Modern C++ (C++11 and newer).
• Proven experience in designing and building full systems from scratch. (Candidates must demonstrate experience beyond maintaining or working on small, isolated components).
• Strong Unix/Linux experience
• Strong communication and interpersonal skills.
• Hands-on experience with data-intensive, high-frequency applications.
• Experience with test-driven development.
• Familiarity with mathematically intensive applications (e.g., statistics, time series analysis).

In addition:

• 2+ years of software development experience in the finance and/or investment management industry.
• Alternatively, for candidates without finance experience, 8+ years of experience dealing with high-frequency, large-scale data systems.
• An advanced degree in a quantitative discipline (Math, Statistics, Physics, Computer Science, Financial Engineering, etc.).
• Hands-on experience with large, financial databases (e.g., Reuters, MarketQA, Capital IQ).
• Familiarity with concurrent systems and optimizing response time.
• Working knowledge of basic statistical and econometric methods.
• Basic Python experience for orchestration and scripting.
• Familiarity with Python data science modules (e.g., NumPy, Pandas) is a huge plus.

Additional Information:

• Location: Vienna, Austria. This is a 5-day-a-week, in-office role (with some flexibility). Relocation support is available.
• Compensation: salary for this position STARTS at EUR 92.000,00 plus a discretionary bonus (potentially might be increased based on candidate qualification
• Perks: Includes 25 days of holiday and lunch vouchers