WHO ARE WE LOOKING FOR?

BlockTech is a fast-paced algorithmic trading firm facilitating global cryptocurrency trading while expanding into regulated markets. As we continue to grow rapidly, we are looking for a Quantitative Researcher to join us amid our exciting scale-up phase!

OUR CULTURE

At our core, we are a team of passionate trading and tech enthusiasts committed to revolutionizing trading through automation. Our collaborative approach ensures that everyone contributes to achieving our ambitious goals.
In this role, you will be both challenged and stretched, with ample opportunities for growth and development, both within and beyond your main responsibilities.
We invest in our people by offering competitive compensation and benefits, fostering innovation, and celebrating success. Our commitment to personal development transcends traditional norms; we provide an equal playing field, promote reverse leadership, and offer boundless growth opportunities for all our employees.
Join us to unlock your potential and drive innovation in the exciting world of algorithmic trading.
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An academic degree in Econometrics, Mathematics, Physics or any other quantitative field with excellent study results (cum laude or higher)

• Experience working with Python, C++ and/or Rust
• Programming experience in Python
• Proven ability to quickly adapt to new technologies and systems
• A positive, can-do attitude and a creative mindset
• A genuine interest in financial markets
• A long-term commitment to growing with us
• Fluency in English (written and verbal)

Location: Singapore
Department: Trading
Short paragraph: We’re looking for a Quantitative Researcher to join a high-paced trading environment where technology and finance intersect. In this role, you’ll design and optimize pricing models, implement trading algorithms, and collaborate closely with traders and data scientists to explore new market opportunities. This is a great opportunity for someone with strong programming skills, an academic background in a quantitative field, and a genuine passion for financial markets to grow in a dynamic and collaborative team

• Design, develop, and improve robust pricing models and software.
• Explore new trading opportunities and develop back-testing tools.
• Test new trading ideas or models on high-volume market data and implement them into production.
• Collaborate directly and constantly with traders and data scientists to evaluate and improve current models.
• Follow up on implemented features and provide support when problems occur.