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# Data Scientist - AI / GenAI for Financial Risk Management

- **Company:** Deloitte T.T.L.
- **Location:** Athens, GA, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Big Data, Information Engineering, Extract Transform Load (ETL), Fraud Prevention and Detection, Python (Programming Language), Machine Learning, Tensorflow, SQL Databases, Pytorch, Large Language Models, Prompt Engineering, Generative AI, Pandas, Scikit Learn
- **Published:** June 20, 2026
- **Apply:** https://arc.dev/remote-jobs/j/deloitte-data-scientist-ai-genai-for-financial-risk-management-oyazeilgo3

## About the Role

We are specifically seeking professionals who possess both technical and business skills, can clearly articulate the outcomes and value of their work, and can demonstrate the following:

 * 2-5 years of relevant experience in banking or financial services, exposure to risk management use cases (credit, market, liquidity) is highly desirable
 * Strong background in machine learning, statistics, and quantitative modeling
 * Proficiency in Python (pandas, scikit-learn, TensorFlow/PyTorch)
 * Experience with Generative AI / LLMs (prompt engineering, RAG, fine-tuning)
 * Experience delivering AI/ML solutions in production environments
 * Knowledge of data engineering concepts (SQL, ETL, pipelines)
 * Knowledge of data visualisation tools and ability to create dashboards and reports
 * Knowledge of the machine learning lifecycle, from prototyping state-of-the-art to scaling and managing for enterprise use
 * Understanding of key considerations for Ethical and Responsible data and AI, and experience applying them
 * Ability to explain complex models to non-technical stakeholders
 * Strong communication and presentation skills
 * Ability to work in cross-functional teams
 * Problem-solving mindset

## Description

Our projects vary and your responsibilities will differ based on the focus of the client engagement and needs. However, your role could include and may require you to:

 * Develop and implement machine learning models for risk use cases such as:
 * credit scoring and risk segmentation
 * early warning systems
 * anomaly and fraud detection
 * stress testing and scenario analysis
 * Design and deploy Generative AI solutions, including:
 * automation of risk reporting and documentation
 * intelligent data extraction and summarization
 * Apply advanced statistical and quantitative techniques to large datasets
 * Collaborate with risk and business teams to translate requirements into analytical models
 * Support model deployment and industrialization (APIs, pipelines, cloud environments)
 * Ensure alignment with model risk management (MRM) practices
 * Prepare high-quality client deliverables and presentations


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