Sydney
Asset Management
Contract or Temporary
Exceptional opportunity to work on a trading floor desk quant position in Sydney as part of a 12+ strong Application Development Team. Ideally, applicants will possess a strong quant dev background with deep global markets cross-product trading product knowledge.
The successful candidate will be expected to have strong programming skills, namely with Python, as well as strong related technology skills (SQL, APIs etc), and familiarity with implementing systems/solutions. Furthermore, candidates with prior experience in financial markets and a strong ability to communicate this will be given priority in consideration.
Key responsibilities include:
* Technical consultation
* Tactical development
* Strategic development
* Data advisory
Skills and qualifications required:
* Degree qualified in numerical field (Maths, Science, Engineering, Computer Science) preferred
* Strong interpersonal, communication and consultation skills with the ability to build relationships with stakeholders which have a range of technical literacy and seniority.
* A highly quantitative individual with demonstrated development experience. Python experience highly regarded, particularly with deep understanding of common scientific libraries, in an investment banking trading environment.
* Experience with HTML & Javascript, as well as UI frameworks (such as jQuery, Vue) for Web Interface development highly regarded.
* Demonstrated experience using SQL for data modelling 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 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 or .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.