6 дней назад
Data Scientist – Technology and Enterprise Operations First Line Risk
136 000 - 226 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist – Technology and Enterprise Operations First Line Risk (AI/BI): Developing data-driven insights, advanced dashboards, reporting, visualization, and automation solutions for technology and enterprise operations risk with an accent on data quality, metric governance, and actionable business intelligence. Focus on validating KRIs and KPIs, modeling and transforming data with SQL and Python, automating reporting with Power BI and Copilot tools, and strengthening internal risk controls.
Location: Wilmington, Delaware, United States of America; four days onsite and one day working from home per week
Salary: $136,000–$226,600 USD per year
Company
Financial services organization focused on technology and enterprise operations risk management.
What you will do
- Develop analytics, metric validation, reporting, data visualization, and process automation practices.
- Design, deliver, maintain, and enhance BI dashboards, reports, templates, and visualization standards.
- Build descriptive, diagnostic, and predictive reporting to identify trends, outliers, and actionable insights.
- Query, structure, transform, and model data for dashboards, analytics, validation, and automation using SQL and programming languages.
- Use Microsoft Copilot, Power BI Copilot, Power Automate, and Python to automate reporting, improve data quality, and strengthen validation.
- Partner with data stakeholders and maintain risk controls, audit requirements, and regulatory standards.
Requirements
- Bachelor’s degree with at least 7 years of related experience, or an equivalent combination of education and work experience including 7 years of related experience.
- At least 1 year of managerial, supervisory, or work leadership experience.
- Experience with at least one data visualization tool and with designing advanced dashboards, reports, and visualizations.
- Expert knowledge of data visualization approaches and experience applying data storytelling.
- Experience using SQL to analyze, extract, and transform data.
- Experience with data management, data quality assurance, metric or KRI validation, model validation, data lineage, and control effectiveness testing is preferred.
Nice to have
- Experience with multiple data visualization tools.
- Experience driving business value through data visualizations.
- Experience using emerging AI technologies and automation tools to improve reporting and operational efficiency.
Culture & Benefits
- Hybrid schedule with four onsite days and one work-from-home day each week.
- Work aligned with risk appetite, internal controls, audit requirements, and regulatory standards.
- Focus on belonging and representing the organization’s brand.
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