Realm Investment House, a leading boutique Australian Fixed Income Manager, is seeking an ambitious and detail-oriented Data Analyst to join our dynamic team. Based at our Melbourne office at 500 Collins Street, this is a fantastic opportunity to develop your career in data analysis within the finance industry.

About Realm Investment House:

Realm Investment House specializes in Australian credit and fixed income, managing $7 billion AUM across both domestic and global markets. Since our inception in 2011, we have rapidly grown to become one of Australia's top-performing fixed income fund managers. Our success is rooted in a commitment to accountability, data-driven decision-making, and delivering exceptional results for our clients.

Responsibilities:

• Create maintain, troubleshoot, and enhance our existing scripts, ensuring their reliability, efficiency, and alignment with business needs.
• Maintain and update databases, ensuring data integrity and accessibility for team members.
• Participate in the automation of data workflows and processes to improve efficiency and reduce manual work.
• Assist in the collection, cleaning, and analysis of data to support investment decisions and operational processes.
• Generate and maintain reports that provide insights into investment performance, risk management, and other key metrics.
• Collaborate with senior analysts and the investment team to develop data models and dashboards that enhance decision-making.
• Support ad-hoc data requests and contribute to ongoing projects aimed at improving data accuracy and operational efficiency.

Requirements:

• Bachelor’s degree in data science, computer science, statistics, mathematics, finance, economics, or a related field.
• Proficiency in Microsoft Excel
• Experience with SQL, Python, VBA.
• Strong analytical skills with the ability to interpret complex data sets and communicate findings clearly.
• High attention to detail, ensuring accuracy in data analysis and reporting.
• Excellent organizational skills with the ability to manage multiple tasks and deadlines effectively.
• A collaborative mindset, with a strong