Quantitative Researcher

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