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Quantitative Researcher at Weekday AI. This role is for one of the Weekday's clients. Min Experience: 5 years. Location: Singapore. JobType: full-time. Key Responsibilities:. . Model Development:. Design and implement quantitative models to evaluate and manage financial risks, including . market, credit, and operational risks. . . . Risk Analysis:. Perform thorough risk assessments and scenario analyses to identify potential vulnerabilities and develop mitigation strategies. . . Data Analysis:. Apply advanced statistical methods and . machine learning algorithms. to analyze large datasets and extract actionable insights. . . Collaboration:. Partner with traders, product managers, and research teams to integrate risk management solutions into trading strategies. . . Reporting:. Create and maintain risk reports and dashboards to communicate risk exposures and performance metrics to stakeholders. . Qualifications:. . Education:. Master’s or Ph.D. in . Mathematics, Statistics, Finance. , or a related quantitative field. . . Technical Proficiency:. . Strong experience with . Python, R, or MATLAB. . . Expertise in . statistical modeling, machine learning, and data analysis. . . Familiarity with . financial instruments, derivatives. , and . risk management frameworks. . . . . Analytical Skills:. Strong problem-solving abilities with attention to delivering . high-quality research and actionable insights. . . . Communication:. Excellent written and verbal communication skills with a collaborative approach and strong attention to detail. . . Adaptability:. Comfortable working in a fast-paced, agile environment and able to adjust to shifting priorities. . Skills:. Machine Learning | Data Analysis | Statistical Modeling | Financial Instruments | Derivatives | Risk Management Framework. Company Location: Singapore.