About the Role:
We are looking for an exceptional NLP Research Scientist to advance the state of financial intelligence through natural language processing. As an NLP Research Scientist at Shipra, you will develop cutting-edge models that transform unstructured financial data into actionable investment insights. Your research will directly impact how professional investors analyze markets, understand companies, and make data-driven decisions.
What You Will Do:
Design and implement advanced NLP models for financial document analysis, earnings call transcription, and market sentiment extraction
Develop domain-specific language models trained on financial data including SEC filings, earnings transcripts, and analyst reports
Build real-time news sentiment analysis systems that identify market-moving information before it impacts prices
Create named entity recognition systems for extracting financial relationships, company hierarchies, and supply chain connections
Research and implement transformer architectures optimized for financial text understanding and generation
Collaborate with product teams to integrate NLP capabilities into user-facing financial intelligence tools
Publish research findings and contribute to the broader NLP and fintech research communities
Mentor junior researchers and establish NLP research best practices across the organization
About You:
PhD in Computer Science, NLP, Machine Learning, or related field with focus on natural language processing
3+ years of experience developing production NLP systems at scale
Deep expertise in transformer architectures, attention mechanisms, and large language model fine-tuning
Experience with financial text analysis, document classification, or domain-specific language modeling
Proficiency in Python, PyTorch/TensorFlow, and distributed training frameworks
Track record of publications in top-tier NLP conferences (ACL, EMNLP, NAACL, etc.)
Strong understanding of financial markets, instruments, and terminology preferred
Experience with MLOps, model deployment, and production monitoring systems
Nice to Have
Experience with financial data sources such as SEC filings, Bloomberg APIs, or market data feeds
Background in computational linguistics or financial text mining research
Familiarity with multimodal models combining text, numerical data, and time series information
Knowledge of financial regulations and compliance requirements for ML systems
Experience with real-time processing systems and low-latency model inference
Contributions to open-source NLP libraries or financial ML frameworks
Understanding of quantitative finance concepts and trading strategies
Benefits
Competitive salary with significant equity upside in a fast-growing fintech company
Comprehensive health, dental, and vision coverage for you and your family
Flexible remote work options with quarterly team gatherings in Toronto
Annual research conference budget and support for publishing academic papers
Access to high-performance computing resources and premium datasets
Generous professional development stipend for courses and certifications
Stock options with potential for substantial returns as we scale
Collaborative research environment with world-class ML and finance experts
Opportunity to shape the future of AI-driven financial intelligence
IT
Full Time
Toronto, CA