Daniel Thorns
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University of Oxford
Real-Time AI Research
FlashIntel GPT
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FlashIntel GPTDaniel Thorns is a highly skilled professional with 8.2 years of experience in statistics, mathematics, machine learning, and deep learning. Currently studying MSc Statistical Science at the University of Oxford, he is interested in applying Machine Learning within Finance. Daniel has worked at DRW in the United States as a Quantitative Researcher and at Morgan Stanley as an Associate Strat and Quantitative Finance Off-cycle Analyst. He also has experience as a Data Science Intern at Geek Talent and as a Spring Into Technology Intern at Deloitte UK. Daniel is based in the United Kingdom.
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About
Currently studying MSc Statistical Science at University of Oxford, to graduate in September 2018. I am very interested in applying Machine Learning within Finance.
Work Experience
Quantitative Researcher
Financial Services
Daniel Thorns's Professional Milestones
- Spring Into Technology (2016-03-01~): Developed a collaborative, innovative digital strategy to drive business growth and advance tech growth.
- Quantitative Finance Off-Cycle Analyst (2018-10-01~2019-03-01): Optimized off-cycle deals, minimizing financial risk and maximizing profitability.
Education
Skill
Statistics
Mathematics
Machine Learning
Deep Learning
Artificial Neural Networks
Algorithms
R
Python
Java
Matlab
Sql
Postgresql
Microsoft Excel
Mathematical Analysis
Supervised Learning
Unsupervised Learning
Certification
Colleagues
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Frequently asked questions
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Daniel Thorns works for DRW
Daniel Thorns's role in DRW is Quantitative Researcher
Daniel Thorns works in the industry of Financial Services
Daniel Thorns's colleagues are Aaron Bedra,Dale Wimmer,Don Wilson
Daniel Thorns's latest job experience is Quantitative Researcher at DRW
Daniel Thorns's latest education in University of Oxford
