Quantitative Trader, Assets & Trading (m|f|x) Wien

We simplify wealth creation. Founded in 2014 in Vienna, Austria by Eric Demuth, Paul Klanschek and Christian Trummer, we’re here to help people trust themselves enough to build their financial freedom — for now and the future. Our user-friendly, trade-everything platform empowers both first-time investors and seasoned experts to invest in the cryptocurrencies, crypto indices, stocks, precious metals and commodities they want — with any sized budget, 24/7. Our global team works across different cultures and time zones, bringing our products to more than 6 million customers, making us one of Europe’s safest and most secure platforms that powers modern investing.

Headquartered in Austria but operating across Europe, our products are built by fast-moving, talented, “roll-up-your-sleeves-and-make-it-happen” kind of people. It’s these diverse perspectives and innovative minds operating as ONE TEAM that keep Bitpanda at the cutting edge of our industry. So if you’re someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team. Let’s go!

You will play a pivotal role in enhancing our pricing and hedging capabilities within a dynamic, technology-driven trading environment. You will leverage data and quantitative insights to optimise our Systematic Internaliser, refine algorithms, and collaborate across teams to achieve more competitive spreads, more efficient hedging, and sustainable alpha generation.

Tasks

• Identify, design, and implement opportunities to optimise and scale our Systematic Internaliser capabilities
• Fine-tune pricing and hedging parameters in real time, using data insights to drive smarter execution and stronger profitability
• Backtesting trade and market data to uncover patterns, anomalies, and insights that enhance pricing, hedging, and execution strategies.
• Work closely with engineers to translate insights into precise specifications that drive continuous improvement of pricing and hedging algorithms
• Take co-ownership of P&L and results

Profile / Your qualification / Your personality

• 2-4 years of experience in capital markets or electronic trading.
• Hold a Bachelor’s or Master’s degree in Finance, Economics, Mathematics, Engineering, or a related quantitative field.
• Have hands-on experience in algorithmic trading or quantitative research; market-making experience is a strong plus.
• Possess a solid understanding of order book dynamics, market microstructure, and trading infrastructure.
• Comfortable writing detailed specifications and collaborating closely with software and data engineers to turn ideas into execution.

That awaits you

• Hybrid-working model with 25-Work From Anywhere days*
• Competitive total compensation package including participation in our stock option plan
• Market-leading benefits programs shaped by our Time & Flexibility policies*
• Company-wide and team events — both in-person and virtually!
• Bitpanda swag to keep you living the brand.
• Comprehensive onsite onboarding program at our Vienna HQ.

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Location

Stella-Klein-Löw-Weg 17, AT-1020 Wien