Job Summary

Creating measurable business impact through data, analytics and AI while accelerating innovation and enabling smarter decisions at global scale is at the heart of Data Insights, a newly established department within GloBuS. As one of its new capabilities, Financial Analytics will play an essential role in shaping the future of GloBuS through advanced analytics products and AI-enabled solutions. This is an opportunity to join at the beginning, help shape a new capability and make a lasting impact. The Financial Analytics Data Scientist is a key enabler of robust data-driven decisions that lead to better financial outcomes for the business. The role develops advanced analytics and AI solutions to solve complex financial problems and generate actionable insights. Acting at the intersection of analytics, data and decision-making, the role supports the development and evaluation of analytical approaches and contributes to the delivery of scalable Financial Analytics products. Across Finance the role contributes to advancing analytical capabilities, supports innovation and promotes effective use of data and AI.

Job Description

Responsibilities

This role collaborates closely with Financial Analytics Product Managers, Data Engineers, and further functions to translate business challenges into analytical approaches and measurable outcomes. The role contributes across the analytical lifecycle by supporting data exploration, hypothesis development, model development, evaluation and interpretation of analytical results. To be successful in this role, it requires strong analytical thinking, curiosity and the ability to translate complex data into meaningful insights while balancing methodological rigor and business applicability.

The role focuses on the following key responsibility areas:

• Translate business challenges into analytical questions, measurable outcomes and suitable analytical approaches
• Perform exploratory data analysis, assess data suitability and develop hypotheses to guide analytical work
• Select, develop, test and validate advanced analytics and AI models using appropriate statistical and machine learning techniques
• Interpret analytical outputs, communicate assumptions and limitations transparently, and translate findings into actionable recommendations
• Enable scalable analytics delivery by collaborating with Product Managers and Data Engineers, promoting reuse of analytical methods, and ensuring analytical quality, explainability and compliance with governance standards

Responsibilities Continued

Qualifications

Education Qualifications
Bachelor's Degree required Master's Degree data science, statistics, mathematics, computer science, economics, finance or a related field preferred

Experience Qualifications
5+ years data science, advanced analytics, machine learning or AI, preferably in the finance domain required
Experience in applying statistical and analytical methods to solve business problems required
Experience in developing and evaluating analytical models and generating actionable insights required
Proven ability to work in cross-functional delivery environments and collaborate across technical teams required
Understanding of model lifecycle concepts and analytical delivery approaches preferred
Experience in industries such as pharmaceuticals and chemicals preferred


Travel Requirements
of the time. Limited

Additional Information