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Quantitative Researcher

TN United Kingdom

London

On-site

GBP 50,000 - 90,000

Full time

28 days ago

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Job summary

An established industry player in financial markets is seeking Quantitative Researchers to join their innovative team. In this role, you will analyze vast data sets, identify patterns, and develop predictive trading models using advanced statistical analysis and machine learning techniques. Collaboration is key, as you will work alongside talented scientists, traders, and developers to push the boundaries of research and technology in trading. This is an exciting opportunity to apply your skills in a dynamic environment that values creativity and intellectual honesty, while driving impactful results in the financial sector.

Benefits

Private Medical Insurance
Vision Insurance
Dental Insurance
Travel Medical Insurance
Group Life Assurance
Income Protection Schemes

Qualifications

  • Strong programming skills in C++ and Python in a Linux environment.
  • Experience with large data sets and statistical models.

Responsibilities

  • Collect and analyze data sets to identify patterns in financial markets.
  • Collaborate with scientists and traders to develop predictive trading models.

Skills

Profitable trading strategies
C++ programming
Python programming
Statistical analysis
Data mining techniques
Statistical models development
Machine learning
Python, R or MATLAB familiarity

Education

Masters or PhD in Statistics
Masters or PhD in Physics
Masters or PhD in Mathematics

Job description

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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.

The quantitative trading teams at Jump Trading probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.

What You'll Do:

Quantitative Researchers collect and analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in 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. Other duties as assigned or needed.

Skills You’ll Need:

  • Proven success with profitable trading strategies.
  • Strong programming skills in C++/Python in a Linux environment.
  • Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks, or support vector machines.
  • Strong experience developing statistical models in a trading environment.
  • Proven success working with large data sets and developing statistical models.
  • Fascinated and interested in advancing machine learning within the trading community.
  • Possess strong familiarity with Python, R or MATLAB along with development skills to support research efforts.
  • Masters or PhD in Statistics, Physics, Mathematics (or related subject).
  • Desire to work within a collaborative, team-driven environment.
  • Reliable and predictable availability

Benefits include:

  • Private Medical, Vision and Dental Insurance
  • Travel Medical Insurance
  • Group Life Assurance and Income Protection Schemes
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