Quantitative Analyst Summer Internship 2020

Quantbot Technologies (HK) Limited is seeking a dedicated and motivated summer intern to join us at our Hong Kong office. We are a registered investment advisor managing a multi-billion dollar global portfolio using quantitative techniques. We develop fully automated investment strategies that leverage statistical arbitrage themes to achieve superior risk-adjusted returns over a multi-year period.

As a quant firm, we live and breathe data. You will have the opportunity to be working directly with our data team, who support over a petabyte of market, historical and derived data for use in our research and trading. Throughout the internship you will be helping our team research, evaluate, study and add new data sets, and directly participate in the development of new ways for extracting value from our data.

Along with spending the summer in Hong Kong, you will enjoy the perks of a collaborative environment and a relaxed, dress-down atmosphere that encourages input and growth.

Location:

Hong Kong

Internship Dates:

Beginning of June to End of August (flexible but not too short so there is time to learn)

Responsibilities:

  • Preparing data sets for analysis

  • Developing tools using Python, R and SQL

  • Excellent communication skills

  • Programming experience in Python, R or SQL

  • User experience in the Linux environment

  • Strong teamwork and sense of ownership

Requirements:

  • Enrolled in an academic program pursuing Bachelor/ Masters/ PhD degree, or recent graduate

  • Highly motivated and proactive

  • Excellent communication skills

  • Ability to work independently and in a team

  • Solid background in Statistics

  • Able to demonstrate problem solving and coding skills in at least one programming/scripting language

  • At least some knowledge of current data science techniques

You will learn:

  • How to analyze very large and complex data sets efficiently

Quantbot Technologies LP is an Equal Employment Opportunity employer and as such does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.