Quantitative Researcher | Trading team
Quantitative Researcher | Trading team
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Job Description
Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics Physics and Computer Science to seek scientific boundaries push through them and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness creativity intellectual honesty and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump research outcomes drive more than superior risk adjusted returns. We design develop and deploy technologies that change our world fund start-ups across industries and partner with leading global research organizations and universities to solve problems.
Were expanding our successful global equity stat arb business with the build out of a new team of quantitative researchers focused on developing mixed-frequency (low/mid) strategies based out of Hong Kong. This team will leverage new and differentiated approaches to research and will be comprised with top talent across the fields of Quantitative Research ML/LLM & Engineering.
What Youll 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. Jumps 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 Youll 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
Demonstratable 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
Employment Type
Full Time
