Analyst-Data Science
Role Overview
The Analyst, Data Science role sits within the Model Risk Management Group under the Global Risk and Compliance organization.
The role supports independent risk management and governance of Generative AI and advanced machine learning models.
The analyst assesses and monitors LLMs, Generative AI applications, and machine-learning-based models used across business areas including marketing, credit, fraud, customer engagement, operations, and risk decisioning.
The role contributes to enterprise model risk controls, model excellence, and compliance with evolving AI governance expectations.
The role requires strong analytical skills, curiosity about AI and machine learning technologies, and the ability to translate technical findings into risk-focused insights.
Key Skills for This Role
Full Job Posting
Role Overview
The Analyst, Data Science role sits within the Model Risk Management Group under the Global Risk and Compliance organization.
The role supports independent risk management and governance of Generative AI and advanced machine learning models.
The analyst assesses and monitors LLMs, Generative AI applications, and machine-learning-based models used across business areas including marketing, credit, fraud, customer engagement, operations, and risk decisioning.
The role contributes to enterprise model risk controls, model excellence, and compliance with evolving AI governance expectations.
The role requires strong analytical skills, curiosity about AI and machine learning technologies, and the ability to translate technical findings into risk-focused insights.
Education and Experience
- MBA or master’s degree in Statistics, Economics, Data Science, AI/ML, Generative AI, or a related quantitative field.
- 0-2 years of experience in analytics, data science, model development, validation, or big-data workstreams.
- Exposure to AI/ML model development, testing, or validation through professional experience, projects, or internships is preferred.
- Interest in or early exposure to Generative AI or LLM-based systems is a strong plus.
Technical Skills
- Foundational understanding of AI/ML concepts and interest in Generative AI technologies.
- Hands-on experience with at least one of Python, PySpark, R, or SQL.
- Ability to work with data, perform analytical checks, and support model evaluation activities.
Core Capabilities
- Strong analytical, problem-solving, and structured-thinking skills.
- Clear written and verbal communication, including the ability to explain analytical results to diverse audiences.
- Ability to manage multiple tasks, adapt to changing priorities, and meet tight timelines.
Employee Benefits
- Benefits may include competitive base salaries, bonus incentives, financial well-being and retirement support, and location-dependent health coverage.
- The company offers career development and training opportunities and may provide flexible working arrangements depending on role and business need.
Responsibilities
- Support independent risk management and governance of Generative AI and advanced machine learning models.
- Assess and monitor LLMs, Generative AI applications, and machine-learning-based models.
- Support enterprise model risk controls and model excellence initiatives.
- Contribute to compliance with evolving regulatory and governance expectations for AI systems.
- Translate technical findings into clear, risk-focused insights for stakeholders.
- Work with data and perform analytical checks to support model evaluation activities.
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