Data Scientist at Hollard Insurance

We are looking for a highly skilled data scientist/analyst to play a pivotal role in enhancing our data architecture and spearheading process automation initiatives. By leveraging advanced analytical techniques, the successful candidate will optimize operational efficiencies, enabling us to efficiently scale and support the growth of our business.

Key Responsibilities

Data Management and Architecture:

• Design / implement / maintain / manage all data storage withing the Hollard environment as well as data flow to/from systems and 3rd party providers i.e. Morningstar, Bloomberg, IRESS, APEX
• Optimize data storage and retrieval systems to handle large volumes of financial data efficiently.
• Document and implement data governance processes to ensure data quality,integrity, and compliance with Hollard Group’s
• Understand the investment teams processes, models and reporting requirements. Assess existing systems and data architecture, and then conceptualize & propose potential improvements.

Data Analysis and Modelling:

• Utilize statistical techniques, machine learning algorithms, and quantitative analysis to extract insights from financial data.
• Collaborate with investment team members to automate and refine existing models. Automate calculations, analysis, reporting, and manual processes performed by the investment team.
• Use data analysis and data-driven approaches to enhance monitoring of investment portfolios and facilitate investment decision-making.
• Data visualization and reporting:
• Create data visualizations, dashboards, and reports to facilitate client presentation and reporting.
• Collaborate with investment team members to integrate data-driven insights into investment processes and decision workflows.
• Recommend and introduce data visualization tools such as Power BI and/or other user-friendly interfaces to allow investment team members to access and interact with data seamlessly. 

Required Knowledge and Experience    

• A minimum of 3 years in data scientist/data analyst role
• Advanced experience with the MS Office suite, specifically Excel, VBA
• Proficient in programming languages such as Python, R, or SQL
• Experience with data visualization tools like Tableau, Power BI
• Understanding of databases and data storage systems
• Knowledge of statistical methods and machine learning algorithms
• Working experience in Morningstar, IRESS or Bloomberg will be an advantage.
• Candidate must have advanced analytical knowledge of data
• Candidate should be able to conduct data analysis and develop data models
• Candidate should be process oriented and have great documentation skills
• Candidate should have project management skills and be able to drive projects independently
• Candidate must have an analytical mind with good problem-solving skills and an exceptional attention to detail
• Candidate must be able to adapt and learn quickly, operate with very minimal supervision
• Candidate must be comfortable liaising with various stakeholders both within the business (i.e. Hollard IT) and outside of the business (i.e. APEX)
• Candidate must be committed to ongoing learning and staying current with developments in the financial services industry, which is crucial for providing relevant insights.
• Candidate must have good interpersonal, verbal, and written communication skills