Responsibilities:

📍Assist in the validation of risk model performance and support testing and integration efforts under the guidance of senior team members; 📍Contribute to model optimization tasks, focusing on improving system performance and processing large datasets; 📍Support the documentation of code and model processes, ensuring they are clear and easy to follow for ongoing maintenance; 📍Participate in code reviews and assist with identifying issues and suggesting improvements to code quality and design; 📍Collaborate with team members to ensure models meet business and regulatory requirements, with oversight from senior staff.

Requirements:

📍Master's Degree or above in quantitative field, including finance, risk management, mathematics, computer science, or engineering; 📍3+ years in risk model validation, quantitative analysis, or related fields. Familiarity with risk modeling and system testing is required; 📍Proficient in programming languages in Python, Java, or C++; 📍Strong oral communication and documentation skills; Eagerness to learn, grow, and develop skills in risk modeling and system integration under the guidance of senior team members; 📍Enthusiastic about both emerging crypto innovations and conventional finance; 📍Bringing energy, an ownership mindset, and exemplary work ethics to the team.

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