Quantitative Researcher

Weekday AI; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A client-focused technology firm in Singapore seeks an experienced professional to design and implement quantitative models to evaluate financial risks. The ideal candidate will have a Master’s or Ph.D. in a quantitative field, with strong proficiency in Python, R, or MATLAB. Responsibilities include conducting risk assessments, collaborating with teams, and reporting metrics to stakeholders. The role demands at least 5 years of experience and excellent analytical and communication skills, thriving in a fast-paced environment.

Qualifications

• Minimum 5 years of relevant experience.
• Strong problem-solving abilities with attention to detail.
• Excellent written and verbal communication skills.

Responsibilities

• Design and implement quantitative models for financial risk evaluation.
• Perform risk assessments and develop mitigation strategies.
• Analyze large datasets using statistical methods and algorithms.
• Collaborate with teams to integrate risk management in strategies.
• Create reports to communicate risk metrics to stakeholders.

Skills

Machine Learning

Data Analysis

Statistical Modeling

Financial Instruments

Derivatives

Risk Management Framework

Education

Master’s or Ph.D. in Mathematics, Statistics, Finance, or related field

Tools

Python

R

MATLAB

Job description

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