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Junior Data Analyst, Model Risk Management

OnsiteFull-timeHyderabad +1 morePosted 3w ago56 views
Salary
Not disclosed
Experience
0 Years
Work mode
Onsite
Employment
Full-time
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Job description

## About the Role The Junior Data Analyst will join the Model Risk Management (MRM) team within ICE's global Enterprise Risk Management function. This role focuses on delivering advanced data visualizations for model validation and creating executive‑level dashboards that translate complex statistical outputs into clear, actionable insights. ## Responsibilities - Design, build, and maintain advanced data visualization tools using Tableau to support model validation reports. - Collaborate with model validators to gather requirements, perform data transformations, and ensure visualizations accurately reflect statistical model outputs. - Produce monthly validation reports, incorporating improvements and automation where possible. - Develop self‑service tools, including ServiceNow dashboards, to track business processes. - Document data sources, transformation logic, and dashboard designs for maintainability. ## Knowledge and Experience - Bachelor’s degree in Engineering, Finance, Applied Mathematics, Economics, Computer Science, or a related field. - Passion for data storytelling and visualizations. - Strong analytical, problem‑solving, and attention‑to‑detail abilities. - Basic programming skills in Python or R. - Ability to understand basic statistical models. - Excellent presentation, communication, and business writing skills. ## Preferred Qualifications - Hands‑on experience with Tableau. - Experience with SQL for data extraction and manipulation. - Familiarity with statistical concepts and financial markets. - Exposure to ServiceNow or similar workflow tools.

Required skills

Job locations

HyderabadIndia

Compensation

Salary for this role is not disclosed by the employer. We don’t have enough benchmark data from similar roles to produce a reliable estimate. The actual compensation will be discussed during the interview process.

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