Computational Linguist
We’re looking for a Computational Linguist to help design language-aware models, improve AI understanding, and build intelligent systems that strengthen Quantix’s analytical and predictive capabilities.
About the position
Quantix is seeking a Computational Linguist to develop, refine, and evaluate language-focused models that power our intelligence, automation, and market analysis systems. You will work at the intersection of linguistics, machine learning, and data engineering — helping our AI understand financial language, extract meaning from unstructured datasets, and generate clear, accurate, and context-aware insights. This role involves research, experimentation, and hands-on NLP development within a highly technical environment.
Job responsibilities
- Develop and refine NLP models for text classification, summarization, sentiment extraction, and entity detection.
- Build systems that interpret financial language, market narratives, and unstructured textual data.
- Design linguistic rules, tokenization strategies, and semantic features to improve model accuracy.
- Analyze on-chain data, research reports, social feeds, and market commentary to extract meaningful signals.
- Collaborate with ML engineers to integrate NLP modules into production pipelines and analytical systems.
- Evaluate model performance using linguistic metrics, error analysis, and iterative refinement.
- Create tools for text normalization, dataset creation, annotation, and corpus management.
- Work on multilingual and domain-specific NLP challenges, ensuring high-quality outputs across markets.
Required skills
- Strong understanding of linguistics, semantics, syntax, and language structure.
- Experience with NLP techniques such as tokenization, embeddings, NER, sentiment analysis, and topic modeling.
- Proficiency with Python and NLP libraries like spaCy, NLTK, transformers, or HuggingFace models.
- Ability to work with large text datasets and build custom preprocessing/cleaning pipelines.
- Familiarity with LLMs, transformer architectures, and fine-tuning workflows.
- Ability to convert complex linguistic insights into practical, deployable model improvements.
- Strong analytical and problem-solving skills with attention to language nuance and consistency.
- Bonus: experience with financial language, market narratives, or text-based alpha signals (not required).
Benefits
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