This is an exceptional opportunity to work in a trading floor desk quant position in Melbourne. Ideally, you will have a strong quant dev background with deep global markets cross-product trading product knowledge.The successful candidate will be expected to have strong programming (Python) and related technology skills (SQL, APIs, etc.), familiarity with implementing systems/solutions, and strong consultative skills.Key responsibilities include:Technical consultationStrategic developmentSkills and qualifications required:Degree qualified in a numerical field (Maths, Science, Engineering, Computer Science) preferredStrong interpersonal, communication, and consultation skills with the ability to build relationships with stakeholders who have a range of technical literacy and seniority.A highly quantitative individual with demonstrated development experience. Python experience highly regarded, particularly with a deep understanding of common scientific libraries, in an investment banking trading environment.Demonstrated experience using SQL for data modeling and discovery, with an ability to navigate and gain knowledge from unfamiliar datasets.Experience with commonly used 3rd party financial software vendors (Bloomberg, Factset, Reuters, Iress, Barra, etc.) and their data, models, and APIs highly regarded.Demonstrated passion for solving problems using technology. The candidate will likely have acquired a broad knowledge of various technologies over the course of their career (Python, .NET, SQL, VBA, R, Matlab, etc.).This is an exceptional opportunity to work for the Trading Desk Quant Team. The ideal profile for this role would be an applicant with a strong systems background, with well-developed programming experience ideally in Python, R, SQL, .NET, C++, or C#.We have found that a strong background in Python is often important to join this team, and ideally, prior experience with Power BI is also very useful, ideally within an investment banking, market making, or financial markets trading environment.Any experience with 3rd Party Vendor Software would be great (Bloomberg, Factset, Reuters, Iress, Barra) but perhaps not critical to succeed in this role. You don’t necessarily need a strong investment background to succeed in this role, but a strong technical quant developer background, probably within financial services, global markets, or asset management. You will be working closely with internal trading teams, alongside the Investment Technology team, and you could describe this function as the conduit between the technology and the trading teams seeking technical quant analytics support.The ideal candidate will be a highly quantitative individual with demonstrated development experience in Python, C++, or C#, alongside SQL and 3rd party financial software vendor experience.
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