Location: Bucharest, Romania
Compensation: Competitive salary + performance-based quarterly bonuses
About the Role:
At Diomedes Technologies, we’re redefining cryptocurrency trading with innovative strategies and cutting-edge research. As a Quantitative Researcher, you will design and implement advanced models to analyze data, uncover patterns, and drive high-frequency trading decisions. Your work will directly influence our success in an ever-evolving market.
Key Responsibilities:
- Develop and optimize predictive models tailored to cryptocurrency markets.
- Analyze large-scale datasets to extract actionable insights.
- Innovate and apply machine learning techniques to high-frequency trading.
- Collaborate with traders, developers, and fellow researchers to refine trading strategies.
- Leverage advanced programming expertise in Python or C++ within a Linux environment.
What We’re Looking For:
We value intellectual curiosity, creativity, and a results-oriented mindset. Ideal candidates will possess:
Technical Skills:
- Mastery of Python and/or C++ in advanced technical applications.
- Strong foundation in statistical modeling and machine learning.
- Proven experience analyzing and processing large datasets.
- Familiarity with financial products, market dynamics, and microstructure is a plus.
Problem-Solving and Execution:
- Innovative Problem-Solving with a Profit Focus: Ability to quickly grasp new concepts, integrate knowledge from various domains, and apply a data-driven approach to test and refine ideas that contribute to financial gains.
- Pragmatic Focus on Making Money: A practical mindset that prioritizes efforts yielding the highest financial value, with agility to pivot away from less profitable tasks.
Team Mindset:
- Collaborative spirit, thriving in high-performance team environments.
- Commitment to sharing insights and building collective success.
Why Join Diomedes Technologies?
- Work at the forefront of cryptocurrency trading and quantitative research.
- Collaborate with a diverse team of top-tier academics and industry experts.
- Contribute to groundbreaking projects in a fast-paced, dynamic environment.
- Enjoy a culture of innovation, intellectual rigor, and rewarding challenges.
If you’re ready to apply your skills in mathematics, data science, and programming, we want to hear from you.
Send your resume to [email protected].