Transformar datos en información relevante y oportuna que facilite la toma de decisiones en la Gerencia de Transformación Digital, contribuyendo al seguimiento y optimización del desempeño de aplicaciones y canales digitales, así como al desarrollo de iniciativas de perfilamiento y segmentación de clientes.
Responsibilities
Analizar el desempeño de las aplicaciones y canales digitales, identificando patrones de comportamiento de los usuarios, tendencias y oportunidades de mejora que permitan a los Product Owners tomar decisiones orientadas a optimizar la experiencia del cliente y los resultados del negocio.
Desarrollar y mantener soluciones de análisis y visualización de información que permitan monitorear indicadores estratégicos y operativos de los productos digitales, asegurando la disponibilidad, confiabilidad y oportunidad de los datos para la toma de decisiones.
Brindar soporte analítico a las iniciativas de perfilamiento y segmentación de clientes, facilitando la identificación de patrones de comportamiento, oportunidades comerciales y segmentos de clientes que contribuyan al cumplimiento de los objetivos del negocio.
Gestionar los requerimientos de información y segmentación para campañas digitales, asegurando la identificación, preparación y validación de las audiencias objetivo, en coordinación con los responsables de la configuración y ejecución de campañas.
Medir y dar visibilidad al desempeño e impacto de las campañas digitales, proporcionando indicadores y análisis sobre su alcance, efectividad, conversión y contribución a los resultados comerciales, que permitan evaluar y optimizar las iniciativas implementadas.
Stage au sein de la Direction Conformité, participation à des projets transverses visant à harmoniser les pratiques, renforcer la qualité des données et développer l'utilisation de l'intelligence artificielle.
Responsibilities
Contrôler la cohérence et la qualité des données utilisées dans les dispositifs de Sécurité Financière
Participer à l'optimisation et à la mise à jour de l'extranet dédié aux sujets Éthique et Conformité
Prendre en main l'outil After Data et contribuer à son amélioration continue
Vérifier l'exhaustivité, la mise à jour et la cohérence des informations relatives aux PPE, RL, BE, scoring et autres informations réglementaires
Participer aux travaux faisant suite aux recommandations et plans d'actions issus des contrôles réglementaires
Requirements
Master 2 (Bac+5) en Conformité, Gestion des risques, Audit, Contrôle interne, Finance réglementaire, Finance d'entreprise
Data Analytics for forecasting, development of software solutions for business forecasting, market analysis, and tooling development for strategic and operational product management.
Compensation
Attraktive Vergütung nach Tarifverträgen der Metall- und Elektroindustrie sowie diverse Sonderzahlungen
Responsibilities
Data Analytics for Forecasting
Selbständiges Erarbeiten einer Software-Lösung für datengestütztes Business Forecasting
Auswertung von Sales and Market trends im Bezug auf das Produktportfolio
Training des konzerneigenen Large Language Models (KI) zur Weiterentwicklung des Wissensmanagements
Tooling-Entwicklung für Strategische Bedarfsplanung
Key member of the divisional finance team, responsible for developing reliable data, analytical tools and management information that support operational and strategic decision-making.
Compensation
Competitive Compensation– $85,000 - $90,000 CAD. Compensation is commensurate with experience, qualifications, and internal equity.
Responsibilities
Coordinate and support the annual budgeting and monthly forecasting processes for assigned areas.
Provide financial analysis and decision support to management, translating financial results into practical business insights.
Assess the financial implications of existing and proposed initiatives, including return-on-investment considerations and key assumptions.
Partner with operational leaders to strengthen financial understanding, improve forecast quality and support achievement of divisional objectives.
Identify opportunities to improve reporting, controls, workflows and data quality, and present recommendations to senior leaders.
Requirements
Post-secondary degree or diploma in accounting, finance, business administration or a related discipline
Nice to have: Canadian CPA designation
Nice to have: CFE
Nice to have: Insurance or financial services sector
Assist in the development, improvement, and maintenance of data systems to recommend data accuracy enhancements and conduct data analysis on historical, current, and projected trends to support stakeholder objectives.
Compensation
$52,000 - $60,000 base salary
Responsibilities
Assist in the development, improvement, and maintenance of data systems to recommend data accuracy enhancements
Conduct data analysis on historical, current, and projected trends and report findings
Work closely with team members and stakeholders to identify improvement opportunities, model and analyze data to facilitate project and process improvements
Communicate effectively with team and stakeholders from all levels and functions of the organization to influence processes improvement efforts and project completion
Plan and track project timelines and budgets, manage project risks, and is responsible for project milestones and deliverables
Requirements
Bachelor’s degree in Business Analytics, Business Intelligence, Data Science, Information Systems, or equivalent discipline
Nice to have: sales experience
Nice to have: experience with large amounts of data
Quantitative Risk Analyst in the Private Wealth Investment Risk team, responsible for risk measurement, attribution, and analysis across multiple asset classes.
Compensation
The salary range for this role is $95,000-$110,000. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting.
Responsibilities
Maintain and run regular and ad hoc risk reports
Support various teams on risk and performance analytics
Translate academic and buy-side research into risk models and methodologies
Perform ex-ante and ex-post portfolio risk analysis, performance and attribution analysis, stress tests, and back tests
Stay current with academic finance research and present findings
Requirements
Bachelor’s or master’s Degree in a quantitative field like Financial Engineering, Econometrics, Computer Science, Applied Mathematics, Statistics, or similar
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