Data Analyst (Investment)
- Posted 22 July 2025
- SalaryNegotiable
- LocationMelbourne CBD
- Job type Contract
- DisciplineData & Analytics
- Reference90M0674503_1753164332
Job description
FinXL was established in 2003 and created to leverage highly talented people in solving complex technological challenges. Since then, we have completed thousands of assignments, providing high value services to a wide range of customers.
Previously a part of the successful Finite Group, a subsidiary of Randstad N.V., FinXL has grown from a small team to a large business, with offices in all the major cities across Australia and New Zealand. Our deployed workforce of 1,200+ consultants work on projects and BAU assignments across a diverse customer base.
FinXL is looking to engage a Data Analyst with Investment experience for one of our high-profile clients in the Financial services industry.
Key skills and experience include:
- Develop,
- Minimum 1- or 2-years' experience in investment management / asset owner with investment operations capability.
- Must have Calypso experience
- Good understanding of financial markets and financial instruments across multiple asset classes.
- Knowledge of data management functions and usage of investment data in its various forms.
- Sound understanding of the nuances between the investment (IBOR) and accounting (ABOR) books of record and how these might be applied in an Asset Management and Asset Owner context.
- Strong knowledge of financial data providers/source qualities. Skilled in navigating market data platforms for data sampling and review
- Highly proficient investigation & data analytical skills with the ability to effectively articulate and present outcomes of investigation and corresponding solutions..
- A willingness to be hands on and undertakes operational activity.
- Experience in Bloomberg, Refinitiv and Aladdin highly desirable.
- Experience in data tools such as Python, particularly API related packages, and SQL. Desirable.
If you believe you are the right candidate for this role, we encourage you to apply.
Due to the anticipated volume of applications, only shortlisted candidates will be contacted.
Code:(M37)
