Quant Risk Manager - Systematic Trading & ML Risk Oversight

saccade capital (singapore) pte. ltd.; Singapore; Hybrid; SGD 180,000 - 240,000; Full time

Job summary

Saccade Capital is a proprietary trading firm with offices in Hong Kong, Singapore, Seoul, Dubai and business interests in multiple locations across the globe. We are seeking a self-motivated candidate with strong critical thinking and risk-based approach over technology and market risk matters.

The role involves monitoring real-time portfolio exposure, stress testing, and developing automated risk controls, plus contributing to design and scaling of trading ideas across multiple asset classes.

Qualifications

• 5 years experience in Trading and/or Risk Management in any asset class.
• Experience applying machine learning algorithms and traditional statistical algorithms to market problems.
• Experience handling large data sets.
• Strong problem-solving and statistics skills.
• Ability to work in large and small teams, very good communication skills.

Responsibilities

• Monitoring real-time portfolio exposure, performing stress testing, setting pre-trade automated controls, and evolving risk methodology.
• Assisting on Design, Build and Maintenance of trading ideas.
• Assisting on automated strategy scaling, and P&L management across global derivatives, cash equities, commodities, or digital assets.

Skills

Python

C++

Machine Learning

Data Analysis

Trading

Education

Bachelor’s, Master’s or PhD in STEM

Job description

Saccade Capital is a proprietary trading firm with offices in Hong Kong, Singapore, Seoul, Dubai and business interests in multiple locations across the globe. We are seeking a self-motivated candidate with strong critical thinking and risk-based approach over technology and market risk matters.

The role involves monitoring real-time portfolio exposure, stress testing, and developing automated risk controls, plus contributing to design and scaling of trading ideas across multiple asset classes.