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About the Role
Spearhead the development of state-of-the-art natural language processing (NLP) and large language model (LLM) solutions for next-generation compliance and surveillance systems. Work on specialized problems at the intersection of NLP, communications intelligence, financial supervision, and regulatory compliance, leveraging unstructured data to uncover misconduct and risk. Collaborate with Senior Data Scientists and mentor Associate Data Scientists in data analysis, insight generation, and solution creation. The role requires technical excellence in NLP modeling and a deep understanding of financial domain behavior, including insider trading, market manipulation, and regulatory risk areas. Perform independent and team-based research, generate insights from large datasets, and manage day-to-day data requests and analysis. Gain exposure to taking machine learning and analytics research to production, interfacing with business leaders, ML researchers, data engineers, platform engineers, and data scientists to achieve end-to-end data science proficiency.
Responsibilities
- Collect, analyze, and interpret datasets to uncover insights for statistical methods and machine learning algorithm development.
- Lead the design, training, and deployment of NLP and transformer-based models for financial surveillance and supervisory use cases.
- Develop machine learning models and analytics, optimizing established workflows.
- Perform data annotation and quality review.
- Conduct exploratory data analysis and model fail state analysis.
- Contribute to model governance, documentation, and explainability frameworks aligned with AI standards.
- Provide client/prospect guidance in machine learning model and analytic fine-tuning/development processes.
- Guide junior team members on model development and EDA.
- Collaborate with Product Managers to translate project/product requirements into technical tasks.
- Engage in continued self-led personal development.
Requirements
- Strong understanding of financial markets, compliance, surveillance, supervision, or regulatory technology.
- Experience with one or more data science and machine/deep learning frameworks and tooling.
- Command of data science and statistics principles.
- Strong knowledge of key programming concepts.
- Solid statistics knowledge.
- Knowledge of NLP transfer learning, including word embedding and transformer models.
- Experience with natural language processing toolkits.
- Knowledge of microservices architecture and continuous delivery concepts in machine learning.
- Familiarity with Deep Learning techniques for NLP.
- Familiarity with LLMs using ollama and Langchain.
- Excellent verbal and written communication skills.
- Proven ability to collaborate effectively in a team.
- Familiarity with cloud computing platforms (AWS, GCS, Azure).
- Experience with automated supervision/surveillance/compliance tools.
Skills
- scikit-learn
- H2O
- keras
- pytorch
- tensorflow
- pandas
- numpy
- carot
- tidyverse
- regression
- Bayes
- time series
- clustering
- P/R
- AUROC
- exploratory data analysis
- split-apply-combine
- data structures
- object-oriented programming
- hypothesis testing
- ANOVA
- chi-square tests
- NLP transfer learning
- word embedding models
- gloVe
- fastText
- word2vec
- transformer models
- Bert
- SBert
- HuggingFace
- GPT-x
- NLTK
- spaCy
- Nvidia NeMo
- microservices architecture
- continuous delivery
- helm
- Docker
- Kubernetes
- Deep Learning techniques for NLP
- LLMs
- ollama
- Langchain
- AWS
- GCS
- Azure
- automated supervision/surveillance/compliance tools
Experience Level
- Lead
- Senior
Education Level
- Master’s degree in Computer Science, Applied Math, Statistics, or a scientific field
- Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field
Salary/Compensations
- $166,000 - $214,000 a year
About the Company
- Smarsh empowers customers to manage risk and unleash intelligence in digital communications.
- Over 6500 organizations in regulated industries rely on Smarsh daily to identify compliance, legal, or reputational risks in 80+ communication channels.
- Recognized as a leader by Gartner and Forrester, Smarsh has been on the Inc. 5000 list of fastest-growing American companies since 2008.
- Smarsh hires lifelong learners passionate about innovating with purpose, humility, and humor.
- Collaboration is central to the company's operations.
- The company partners with popular communications platforms and leading cloud infrastructure platforms.
- Smarsh utilizes the latest AI/ML technology to help customers achieve breakthroughs at scale.
- A global organization valuing diversity, Smarsh believes in providing opportunities for authentic self-expression.
- Smarsh leadership, culture, and commitment to employee development have earned Comparably.com Best Places to Work Awards.