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Junior Quant Researcher - ML Alpha Research | London, OH, USA
Career Insights for Natural Language Processing Engineer
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What they do
A Natural Language Processing Engineer specializes in developing and implementing algorithms and models tailored for understanding, processing, and generating natural language text. They utilize methodologies such as tokenization, parsing, named entity recognition, part-of-speech tagging, and other NLP techniques to perform tasks including text classification, chatbot development, and other applications where the primary input or output is natural language text.
$123,697 / year median in Ohio
Job Description
Position Overview:
- Research statistical techniques such as time-series methods, machine learning and NLP to extract value from data
- Analyze large data sets using advanced statistical and ML methods to identify trading opportunities
- Help to develop statistical and ML based tools and techniques to solve complex data related problems throughout the firm.
Typical Day:
- Primary focus throughout the day is on researching new statistical and ML techniques and exploring datasets
- Discuss and present research results with other researchers
- Deploy and monitor models used to generate trading signals.
Required Qualifications:
- Quantitative background - includes advanced degrees in computer science, machine learning / NLP, statistics, signal processing, optimization, mathematics and related STEM subjects (masters or higher)
- Demonstrated ability for doing high quality and rigorous research, along with communicating results to stakeholders.
- Programming proficiency with at least one major programming or scripting language (e.g. python, kdb-q, )
- Strong communication skills and ability to work well with colleagues across multiple regions
- Ability to work well in collaborative and high pace settings, and drive projects to completion in accelerated timelines.