Vice President of Advanced Analytics

Company Description Orcas Capital operates as an independent, accredited control and inspection organization, committed to rigorous quality standards and regulatory compliance. The company follows procedures aligned with UNE-EN ISO/IEC 17020 to ensure independence, impartiality, integrity, confidentiality, and security in all activities. Orcas Capital serves businesses, public administrations, and individuals who rely on its technical expertise and objective oversight. Its strongest asset is a highly skilled professional team that combines deep regulatory knowledge with honesty, transparency, and attention to detail. This commitment to quality and client satisfaction creates a culture of trust and long-term partnerships.
Role Description The Vice President of Advanced Analytics is a full-time, remote leadership role responsible for shaping and executing the firm’s analytics strategy. This role oversees the design, implementation, and governance of advanced analytics frameworks used to support investment decisions, risk management, and operational performance. Day-to-day activities include guiding data analytics initiatives, developing models and dashboards, interpreting complex datasets, and translating insights into actionable recommendations for senior leadership. The Vice President will collaborate with cross-functional teams, mentor analytics professionals, and establish best practices for data quality, methodology, and reporting. This position also contributes to strategic planning, supports client-facing presentations with analytical insights, and ensures that analytics solutions align with regulatory standards and organizational goals.
Qualifications
Strong analytical skills and experience leading complex Analytics initiatives.
Proficiency in Data Analytics tools and techniques, including data visualization and data management.
Solid foundation in Statistics, including model development, hypothesis testing, and quantitative analysis.
Experience applying Analytics in Finance contexts such as portfolio analysis, risk assessment, or performance measurement.
Advanced degree in a quantitative field (e.g., Statistics, Mathematics, Data Science, Finance, Economics) or equivalent experience.
Track record of building and leading high-performing analytics teams in a remote or distributed environment.
Ability to communicate complex analytical findings clearly to non-technical stakeholders and executive leadership.
Familiarity with regulatory and compliance frameworks relevant to financial services or inspection organizations is beneficial.

Work arrangement
Yes