Quantitative Analyst (Up to $5000) #NKA

RECRUIT EXPRESS PTE LTD; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A recruitment agency in Singapore is seeking a professional for a 6-month contract focusing on improving risk quantification models and enhancing analytics frameworks. The ideal candidate should possess a degree in a numerical field, be proficient in Python, and have experience with SQL databases. Responsibilities include supporting analytics requests, managing risk libraries, and innovating risk models. The role offers a competitive salary of up to $5000 per month.

Qualifications

• Minimum Degree in Physics, Mathematics, Statistics, Computer Science, Operations Research, Machine Learning, or similar.
• Must demonstrate proficiency in Python and related tools.
• Experience with SQL and statistical methods preferred.

Responsibilities

• Maintain and improve current risk quantification models.
• Enhance the in-house risk analytics framework.
• Support analytics requests from different business units.
• Implement analytics frameworks for risk management.
• Manage risk management libraries and applications.
• Organize data sets for efficient application use.
• Innovate and improve risk models and algorithms.
• Develop framework for analytics and visualization.

Skills

Proficient in Python

Statistical analysis

Data mining techniques

Education

Degree in applied numerical field

Tools

GIT

Jira

Postgresql

OracleDB

SqlServer

Job description

Location: Tanjong Pagar

Duration: 6 months contract (Jan - Jun 2026)

Working Hours: Mon - Fri, 9 - 6

Salary: Up to $5000

Job Responsibilities

• Maintain and improve of current risk quantification models.
• Maintain and enhance the in-house risk analytics framework.
• Support analytics requests from different business units.
• Responsible for implementing analytics frameworks for risk management.
• Create and manage risk management libraries and applications
• Organize data sets for efficient use by applications
• Innovate and improve proprietary models, risk factors and algorithms in the risk framework
• Develop framework to generate analytics and improved results visualization

Job Requirements

• Minimum Degree in an applied numerical field: Physics, Mathematics, Statistics, Computer Science, Operations Research, Machine Learning, Applied Mathematics or similar quantitative field.
• Must be proficient in Python. (Including tools such as GIT, Jira etc)
• SQL experience with any of Postgresql, OracleDB or SqlServer is a plus.
• Prefer experience in applied statistics including sampling approaches, experiments, modelling, and data mining techniques.