VP of Data Analytics & AI Strategy

Bank of China Limited, New York Branch; New York (NY); Hybrid; USD 110.000 - 230.000; Vollzeit

Zusammenfassung

Bank of China Limited, New York Branch is seeking a Data Analytics VP to lead the CDO Data Analytics team in driving bank-wide analytics initiatives. The role focuses on building BI dashboards, performing in-depth data analyses, and applying machine learning techniques to enhance business outcomes.

The ideal candidate will possess extensive experience in data analytics, SQL, Python, and BI tools, with a track record in dashboard development and ML/AI application within the financial services

Qualifikationen

• Bachelor’s degree required; Master’s preferred in analytics/CS/stats or related field.
• At least 5 years of experience in data analytics, SQL, Python and Business Intelligence Tools.
• At least 3 years of experience in dashboard development.
• At least 2 years of experience in Machine Learning/AI.
• Strong communication and project management skills are required.
• Financial Services experience is preferred.

Aufgaben

• Develop BI/Executive dashboards to track KPIs, risk indicators, and drive data-driven decisions.
• Perform in-depth analysis of complex datasets to identify trends and insights.
• Apply advanced analytics including ML/AI to address business challenges and optimize performance, with model monitoring.
• Support automation to streamline workflows and data delivery across the bank.

Kenntnisse

Data analytics

SQL

Python

BI tools

Dashboard development

Machine Learning/AI

Communication skills

Project management

Financial services experience

Ausbildung

Bachelor’s degree

Master’s degree in analytics/CS/statistics

Jobbeschreibung

Bank of China Limited, New York Branch is seeking a Data Analytics VP to lead the CDO Data Analytics team in driving bank-wide analytics initiatives. The role focuses on building BI dashboards, performing in-depth data analyses, and applying machine learning techniques to enhance business outcomes.

The ideal candidate will possess extensive experience in data analytics, SQL, Python, and BI tools, with a track record in dashboard development and ML/AI application within the financial services