Quantitative Researcher, Trading team

Quant Blueprint LLC; Hong Kong; On-site; HKD 80,000 - 120,000; Full time

Job summary

Dormont Manufacturing Co is seeking Quantitative Researchers in Hong Kong to analyze large data sets and derive insights into global financial markets. This role involves significant collaboration with traders and developers while employing advanced statistical and machine learning techniques.

Ideal candidates will possess a relevant degree and strong programming skills in C++/Python, alongside a desire to work in a dynamic team environment.

Qualifications

• Creative thinkers who are self-motivated and eager to solve challenging problems.
• Strong programming skills in C++/Python in a Linux environment.
• Desire to work within a collaborative, team-driven, fast-paced environment.

Responsibilities

• Collect and analyze vast amounts of data sets to identify insights.
• Collaborate with scientists, traders, and developers on research applications.
• Apply statistical analysis and machine learning techniques to forecasts.

Skills

Creative thinking

Problem-solving

Quantitative trading strategies

Machine learning techniques

Programming in C++/Python

Education

Bachelor, Masters or PhD in Computer Science, Statistics, Physics, Mathematics

Job description

What You’ll Do:

Quantitative Researchers collect and analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in global financial markets. Researchers lean heavily on statistical analysis, machine learning, and data engineering skills; applying the results of their research to forecasts and predictive trading models. Jump’s Quantitative Researchers are constantly collaborating with other scientists, traders, hardware and software developers, and market-facing business teams to push for the best expression of our new ideas.

Skills You’ll Need:

• Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
• Proven experience developing successful quantitative trading strategies is highly preferred, though not required
• Demonstrable experience leveraging forecasting and machine learning techniques, such as linear regression analysis, neural networks or other state-of-the-arts models
• Bachelor, Masters or PhD in Computer Science, Statistics, Physics, Mathematics (or related subject)
• Strong programming skills in C++/python in a Linux environment
• Desire to work within a collaborative, team-driven, fast-paced environment