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Pinnacle Investment Management Group Limited (ASX:PNI) is a leading Australian-based multi-affiliate investment management firm. Our mission is to establish, grow and support a diverse stable of world-class investment management firms.
Pinnacle currently consists of eighteen investment management firms that collectively manage over A$150 billion in assets across a diverse range of asset classes. Our affiliated managers operate autonomously, in line with our philosophy that 'supported independence' is an essential ingredient in sustaining investment excellence and business resilience over the long term.
Our values of Client Focus, Honesty and Integrity, Innovation and Empowerment guide all our actions. We continually invest in our people and develop them to help reach their potential through extensive on-the-job training.
Responsibilities
* Developing in Python (also writing in libraries such as pandas, API's);
* Developing database queries (SQL Server) and ETL/ELT pipelines;
* Developing a Front-end portal – build menus, forms, dashboards to allow 'self-service' access to data; data analysis and visualisation;
* Code repository using git;
* Cleansing data and rationalising collection points and methods;
* Reviewing and improving existing system and business processes;
* Project implementation and integration;
* Database management & knowledge of Airflow.
The Successful Candidate
* The ability to build relationships with internal and external stakeholders;
* Team player;
* Excellent verbal and written communication skills;
* Ability to work to tight deadlines;
* A Graduate degree in Computer Science, IT or Software engineering;
* Strong mathematical results from university;
* An interest in and a desire to work in financial services;
* You must be an Australian citizen or hold PR to be considered for this role.
Desired Skills and Experience
* Experience in the MS Azure ecosystem (SQL Server and ELT);
* Flow; Teams; Sharepoint; Fast API;
* Technical expertise in data models, database design and data mining techniques;
* 1-2 years work experience, preferably developing in Financial Services;
* Proven experience of using data analysis and visualisation tools;
* Outstanding critical thinking and analytical skills;
* An understanding of the funds management and/or broader financial services industry;
* Resilience, sincerity, and tenacity.
Seniority level
Associate
Employment type
Full-time
Job function
Engineering, Information Technology, and Finance
Industries
Investment Management
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