Job Description
Job Description Introduction
We are seeking a skilled professional with experience in banking and finance to join our team. The ideal candidate will have a strong background in statistical analysis, machine learning, and large language models, with the ability to translate business problems into actionable data-driven solutions.
Required Skills & Qualifications
- Master’s degree or PhD in Computer Science, Statistics, Mathematics, or a related field.
- Proven experience as a Data Scientist in Banking or a similar domain.
- Proficiency in Python or R, and experience with data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
- Hands-on experience with large language models (e.g., OpenAI GPT, Llama, or similar), including fine-tuning and prompt engineering.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Experience with Big Data Platforms (Hadoop), Relational Databases (Oracle), and NoSQL Databases (MongoDB).
- Experience with Agentic AI and Agent Development.
- Applicants must be able to work directly for Artech on W2.
Preferred Skills & Qualifications
- Experience with NLP, deep learning, or time series analysis.
- Experience deploying models to production environments.
- Knowledge of regulatory requirements and compliance in banking and finance.
- Familiarity with MLOps practices and tools.
- Experience with Agile methodology and tools (JIRA or Rally).
Day-to-Day Responsibilities
- Analyze large financial datasets to extract insights and support business decisions.
- Develop, implement, and evaluate machine learning models and algorithms tailored to banking and finance use cases (e.g., risk modeling, fraud detection, customer segmentation).
- Apply and fine-tune large language models for tasks such as document analysis, customer communication, and regulatory compliance.
- Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
- Communicate findings and recommendations through reports, dashboards, and presentations.
- Work with data engineers to ensure data quality and pipeline reliability.
- Work with AI/ML engineers to build AI solutions.
For immediate consideration please click APPLY to begin the screening process with Alex.