Systematic/Quant Risk Manager

Roles & Responsibilities

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 Electronic Market Makers and Liquidity Providers in various asset classes. There are two main principles that govern our firm:

1. Saccade is a Machine Led company (humans are not at the helm of Saccade’s trading decisions);

2. We are a People company. We recognize that all we are and will ever be, depend on our People.

These principles leverage on each other and provide a wide range of opportunities, latitude and multi-discipline engagement to technologists, very much unparalleled in the market.

This role has an extensive reach and must have a self-motivated individual with excellent critical thinking and risk based approach over technology and operational/market risk matters.

Role attributes:

• 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.
• Python, or equivalent language is essencial. Modern C++ is a plus;
• Bachelor’s, Master’s or PhD in any STEM discipline.

Requirements:

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

Tell employers what skills you have

Machine Learning
large datasets
Quantitative Research
Statistical Analysis Plan
Quantitative Risk Management
Mathematics
Data Management
Operations Research
Data Mining
Analytical and Problem-Solving Skills
Python
Great communications skills
Data Science