Associate Data Science

About the Role

Bromley Trimont Capital is seeking a talented Data Scientist to develop AI-powered capabilities that will revolutionize commercial real estate loan servicing. This role offers the opportunity to tackle complex challenges in document intelligence, agentic AI systems, and predictive analytics, directly influencing the management of billions of dollars in commercial loans. You will be instrumental in deploying production ML systems at scale, utilizing rich, proprietary datasets within the fintech sector.

Key Responsibilities

Model Development

• Design, train, and evaluate machine learning models for production deployment.
• Conduct experiments and A/B tests to validate and improve model performance.
• Implement techniques for model interpretability and explainability.
• Stay abreast of the latest research and apply state-of-the-art methodologies.

Production ML

• Collaborate with Engineering and infrastructure teams to deploy models into production environments.
• Build robust data pipelines and feature engineering workflows.
• Monitor model performance in production and implement effective retraining strategies.
• Develop APIs and interfaces for seamless model prediction access.
• Optimize models for latency, throughput, and cost efficiency.

Data Analysis and Insights

• Perform comprehensive exploratory data analysis to uncover trends and patterns.
• Identify anomalies and insights within commercial real estate data.
• Communicate findings clearly and effectively to product and business stakeholders.
• Develop key metrics and dashboards for tracking model performance.
• Validate data quality and implement data validation processes.

Document Intelligence and NLP

• Build models for document extraction and classification specifically for loan-related documents.
• Develop and refine Natural Language Processing (NLP) pipelines for unstructured financial text.
• Implement Optical Character Recognition (OCR) and document parsing solutions for automated data extraction.

Agentic AI and LLM Systems

• Design and implement LLM-powered applications and agentic workflows.
• Develop Retrieval-Augmented Generation (RAG) systems for efficient document Q&A.
• Implement advanced prompt engineering strategies and LLM evaluation frameworks.
• Build and integrate guardrails and safety mechanisms for AI-generated outputs.

Collaboration and Support

• Partner closely with Product teams to translate business requirements into actionable ML solutions.
• Work with Data Engineers to define data pipeline and feature store requirements.
• Collaborate with Domain Experts to validate model outputs against critical business logic.
• Maintain comprehensive documentation for model architectures, experiments, and decision rationale.
• Mentor junior data scientists and promote best practices within the team.

Required Qualifications

• 2 to 5 years of experience in data science or machine learning.
• Expert proficiency in Python and core ML libraries such as scikit-learn, PyTorch, and TensorFlow.
• Proven experience deploying ML models to production environments.
• Strong foundation in statistics, probability, and experimental design principles.
• Experience with Natural Language Processing (NLP) and document processing techniques.
• Proficiency in SQL and experience with large-scale data manipulation.
• Experience with cloud ML platforms like AWS SageMaker, Azure ML, or GCP Vertex AI.
• A PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience.

Preferred Qualifications

• Experience in financial services, fintech, or Software as a Service (SaaS) environments.
• Hands-on experience with Large Language Models (LLMs), RAG systems, and agentic AI frameworks.
• A Master's or PhD degree in a quantitative field.
• Experience with MLOps tools such as MLflow, Kubeflow, or Weights & Biases.
• Knowledge of computer vision or OCR technologies for document processing.
• Familiarity with compliance requirements prevalent in the financial services industry.