Quantitative Researcher/Analyst

Mission Statement

Our Teams are focused always on what they do best and make no compromises in pursuit of excellence.

Saccade Capital rewards its people fairly, based on individual and team contributions.

Our Values are demonstrated by who is promoted and rewarded versus who is let go or demoted. Everything else is just a writing on the wall.

Equal Opportunity Employment

Employment decisions are made solely on a merit basis. Saccade Capital promotes equal opportunity to all its employees who, independently of title or position, must follow the company's policy of non-discrimination.

There are two main principles that govern our firm:
• Saccade is a Machine Led company (humans are not at the helm of Saccade’s trading decisions);
• 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.

All roles listed below have extensive reach and must have a self-motivated individuals with excellent critical thinking and risk based approach over technology and operational/market risk matters.

Apply at careers@saccadecapital.com

Quantitative Researcher/Analyst

We seek for a Quantitative Researchers/Analysts in a full-time basis in Singapore, Korea and Dubai.

The role has an extensive reach and must have a self-motivated individual with excellent critical thinking and risk based approach over technology, operational and market risks. A Quantitative Researcher/Analyst at Saccade has the opportunity to apply various different disciplines while researching, developing and implementing trading strategies. It is adamant the candidate is able to balance and combine statistical/mathematical rigor with market opportunity windows. You will work closely with experienced Quants and Software Engineers.

Role attributes:
• Predictive signal modeling and implementation via machine learning techniques and statistical analysis methods;
• Create and implement mathematical/statistical modeling techniques to new and existing trading strategies;
• Identify and capture new trading opportunities;
• Automate any remaining human lead trading decisions;
• Collaborate with Software Engineers on Trading Strategy implementation.

Requirements:
• Python, Modern C++ at expert level is a plus;
• A degree in a top university in a technical discipline. Bachelor’s, Master’s or PhD in any STEM course (physics, statistics, computer science, engineering, mathematics) with a focus on statistics and/or machine learning;
• 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 and ability to debate own ideas and peers’ ideas in a productive/healthy way.