Quantitative Developer

Senior HFT Quantitative Trader/Researcher – Digital Assets (EU Remote)About The CompanyHercle is a fast-growing, VC-backed fintech. Our mission is to accelerate the mainstream adoption of digital assets by delivering deep liquidity and efficient settlement, globally. We provide secure and seamless access to digital assets for financial institutions, fintechs, brokers, PSPs, and crypto-native platforms.Working at HercleWe're a lean, ambitious team where everyone gets real responsibility from day one, with the freedom to move fast and the support to grow. We work in a flat, collaborative environment where ideas matter more than titles. People here are self-starters who take initiative and help each other succeed. If you're curious, driven, and excited to build the future of finance, we'd love to meet you.About The RoleWe are looking for a skilled Security Operations (SecOps) Engineer with expertise in AWS security to join our team. You will be responsible for monitoring, detecting, and responding to security incidents, implementing cloud security best practices, and ensuring compliance across our AWS infrastructure.Key ResponsibilitiesAs a Quantitative Trader at Hercle, you'll be at the forefront of our trading operations, using advanced quantitative techniques to develop trading strategies and manage risk. You'll play a key role in analyzing market trends, implementing algorithms, and making critical trading decisions.Developing and executing sophisticated quantitative trading strategies, utilizing advanced mathematical models.Conducting statistical analysis to identify market opportunities.Implementing and managing high-frequency trading algorithms, ensuring optimal performance.Continuously monitoring portfolio risk and market conditions to adjust strategies as needed.Conducting back-testing and simulation of trading models to ensure robustness and effectiveness.Managing and optimizing the execution of trades to minimize market impact and transaction costs.Continuously monitoring and optimizing trading algorithms based on market conditions.RequirementsDegree in Finance, Mathematics, Computer Science, or related quantitative field.2+ years of experience in quantitative trading, preferably in a high-frequency trading environment.Strong proficiency in programming languages such as Python, C#, OCaml, C++, or R.Deep understanding of financial markets, trading algorithms, and risk management principles.Excellent analytical and problem-solving skills, with a keen attention to detail.Ability to work under pressure in a fast-paced trading environment.Strong communication skills for effective collaboration and decision-making.Nice To HaveExperience with machine learning and predictive modeling.Knowledge of blockchain technology and digital asset markets.Advanced certification in financial analysis or risk management.Experience in financial institutions or crypto scale-ups.Why Joining HercleCompetitive salary.Career and personal growth opportunities.Flexible working arrangements (remote/hybrid).Collaborative and forward-thinking work environment.If you're interested, feel free to reach out and send us your CVBy submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Hercle. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Hercle may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Hercle's Candidate Privacy Notice.#J-*****-Ljbffr