Quantitative Trader

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 Trader to join us amid our exciting scale-up phaseWhat will you do?After completing our extensive in-house training program, you will join one of our trading teams. As a Quantitative Trader, you will ensure the smooth operation of our automated trading systems. Your responsibilities will include, but are not limited to: Managing trading positions Develop and test new strategies Interpreting market flow and events Evaluating trading performance Fine-tuning automated trading algorithms Design trading tools You will become an expert in trading and know when and how to assist the trading system in capturing opportunities when necessary. Beyond the responsibilities listed above, you will actively collaborate with quantitative developers, software engineers, and data scientists to enhance our current trading setup and weigh in on the priorities of new projects. At BlockTech, you will take on a lot of responsibility, with the freedom to chart your course to innovative solutionsWhat is in it for you?A permanent full-time position in a relaxed and trendy office located in the heart of Singapore's financial district (CBD)Competitive compensation consisting of a base salary combined with a very attractive bonus plan based on individual and company performance Outstanding performance is rewarded with the opportunity to buy into the trading fund Laptop, home office budget and transportation allowance Breakfast and warm lunch. Additionally, snacks and drinks are provided throughout the day. The opportunity to work at the forefront of automated trading, using state-of-the-art technology Extensive in-house training program in combination with an annual learning & development budget. Reimbursement of gym membership, sports events, the opportunity to do sports during working hours, and unlimited access to a psychologist. Regular social events, including bi-annual trips abroad, frequent outings, and weekly Friday drinks For internationals: All-in relocation package 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. Job requirements An academic degree in Econometrics, Mathematics, Physics, or another quantitative field Strong numerical skills 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 We believe in a clear and efficient application process that lets you showcase your skills, experience our culture, and discover if BlockTech is the right fit for you. Here’s what to expect: Apply & connect Start with an introductory conversation to get to know each other, discuss your application and determine your role. Complete role-specific assessments (quantitative, cognitive, or technical) to demonstrate your strengths. Evaluation rounds Take part in behavioral and technical interviews on-site to evaluate your problem-solving skills and critical thinking. Seal the deal After completing our assessments, you’ve earned your place on the team. Congratulations and welcome aboard#J-18808-Ljbffr