Remote Risk Analyst - Python/SQL & Data

COMPLUS ASSET MANAGEMENT (SINGAPORE) PTE. LTD.; Singapore; Hybrid; SGD 70,000 - 90,000; Full time

Job summary

A global asset management firm in Singapore is seeking a motivated Risk Analyst to enhance its risk data and reporting infrastructure. In this hands-on role, you'll work closely with senior teams to improve data efficiency and model consistency. The ideal candidate has 2-5 years of experience in quantitative or market risk, with strong skills in Python and SQL. Competitive salary and flexible hours are offered, alongside opportunities for mentorship and growth.

Benefits

Competitive salary

Medical insurance coverage

Mentorship from senior management

Growth opportunities

Flexible working hours

Remote work options

Qualifications

• 2–5 years of quantitative or market risk experience at a hedge fund, bank, or similar institution.
• Professional certifications (FRM, PRM, CFA) are a plus.

Responsibilities

• Explore and organize the firm's historical risk data and reports.
• Clean and structure data across databases and internal systems.
• Write Python/SQL scripts to improve reporting efficiency.
• Develop and enhance risk models at trade strategy and portfolio levels.
• Collaborate with Risk, Tech, and Portfolio Managers to verify data/model consistency.
• Maintain documentation and set internal data standards.

Skills

Financial market understanding

Python proficiency

SQL proficiency

Logical reasoning

Attention to detail

Communication skills

Education

Bachelor’s degree in Computer Science, Statistics, Finance, Mathematics or related field

Tools

MSSQL

MySQL

Git

NGINX

Django

ReactJS

FastAPI

Job description

A global asset management firm in Singapore is seeking a motivated Risk Analyst to enhance its risk data and reporting infrastructure. In this hands-on role, you'll work closely with senior teams to improve data efficiency and model consistency. The ideal candidate has 2-5 years of experience in quantitative or market risk, with strong skills in Python and SQL. Competitive salary and flexible hours are offered, alongside opportunities for mentorship and growth.