The company is looking to leverage Artificial Intelligence (GenAI) and Machine Learning to analyze large financial datasets, extract insights, and support business decisions. This includes developing and implementing models for use cases like risk modeling, fraud detection, and customer segmentation, as well as applying LLMs for document analysis, customer communication, and regulatory compliance.
Requirements
- 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.
- Strong knowledge of statistics, machine learning, and data mining techniques.
- Experience with NLP, deep learning, or time series analysis.
- Familiarity with MLOps practices and tools.
- Familiarity with SQL and working with relational databases.
- Experience with cloud platforms (AWS, Azure, or GCP) is a plus.
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 (LLMs) 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.
- Experience deploying models to production environments.
Other
- Experience with Agile methodology and tools (JIRA or Rally)
- Proven experience as a Data Scientist in Banking or a similar domain
- Knowledge of regulatory requirements and compliance in banking and finance.
- Excellent problem-solving, communication, and collaboration skills.
- BACHELOR OF COMPUTER SCIENCE
