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The Role and the Department The Assistant Accountant sits within the newly formed Management Accounting and Reporting team within Finance at the University. The role is responsible for assisting the Senior Finance Manager with the development and operational requirements of the University's management accounting and reporting function. The role will have a key focus on providing accounting and reporting support to non-financial colleagues and budget holders across the role's remit and, as such, will build strong working relationships with budget holders and finance teams, offering clear financial guidance across all levels of seniority to communicate, guide and educate our colleagues in our management accounting requirements. Duties will include, but not be limited to: Assisting in preparation, review and commentary of the monthly management reporting pack including variance analysis against budget, forecast and prior periods highlighting key drivers and risks. Ensure that budget holders are informed with regular reporting and engaging directly with budget holders to ensure that their financials are understood. To actively support the Senior Finance Manager with system improvement and process enhancements to the management accounting and reporting function, including project involvement as required. To lead on the processing of journals within the role's remit and to manage month-end and year-end activities including accruals and prepayments. Prepare and review general ledger reconciliations, ensuring accuracy, completeness, and compliance with internal controls. Investigate and resolve reconciling items promptly, maintaining clear audit trails. Produce management reports and ad-hoc analysis for stakeholders and funding bodies. Assist with internal and external audits and liaise with auditors as required. Undertake additional finance projects or tasks as required.

We are looking for a Research Engineer to join our MOE AcRF Tier 1 funded research project at the Singapore Institute of Technology. You will be part of an interdisciplinary team spanning accounting and NLP/AI, working to design, build, and validate a pipeline that detects inconsistencies and contradictions between firms' written financial filings (10-K/10-Q) and spoken earnings call transcripts. The role involves implementing retrieval-augmented natural language inference models and LLMs, processing large-scale financial text data, and supporting empirical analysis of contradiction scores.  Job Responsibilities Drive the technical execution of the research project under the guidance of the PI and Co-PI, ensuring project deliverables and timelines are met. Design and implement the retrieval-augmented NLI pipeline for inconsistency and contradiction detection across corporate disclosures (earnings call transcripts and SEC filings). Perform large-scale text preprocessing, cleaning, segmentation, and indexing of earnings call transcripts and financial filing corpora. Implement claims extraction modules using LLM-based approaches to identify key assertions from corporate disclosures. Build semantic retrieval mechanisms (e.g., Sentence-BERT embedding similarity search) for matching claim-context pairs across disclosure channels. Implement and evaluate contradiction detection models using NLI frameworks and LLM prompting techniques. Aggregate model outputs into firm-quarter level scores and prepare structured datasets for empirical analysis. Support human-in-the-loop validation by coordinating with student annotators and preparing annotation guidelines. Maintain reproducible research workflows using version control (Git) and systematic documentation of processes, code, and findings. Job Requirements Bachelor’s degree or Master’s degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, or a closely related field. Strong programming skills in Python, with experience in relevant libraries such as HuggingFace Transformers, PyTorch/TensorFlow, and scikit-learn. Prior experience or coursework in natural language processing, machine learning, or information retrieval. Familiarity with version control tools (e.g., Git/GitHub) and collaborative development practices. Experience with financial data or financial text analysis will be advantageous. Familiarity with LLM APIs, prompt engineering, and retrieval-augmented generation (RAG) workflows will be advantageous. Good communication skills and ability to work both independently and collaboratively.

Full - time, fixed term opportunity for three years Exciting opportunity to be a Research Assistant with Professor Todd Hardy Base Salary starting at $89,755 + 17% superannuation About the opportunity Concord Repatriation General Hospital (CRGH, or Concord) is proud of its healthcare service excellence and leadership in clinical care. Concord is part of a network of hospitals and healthcare services within Sydney Local Health District. Since its establishment as the 113th Australian General Hospital in 1941, Concord has built on its strengths of providing quality health services to returned servicemen and women and local communities, as well as undertaking world class clinical education and research. We are seeking a Research Assistant to support the development of research protocols and drive the execution of research activities. The role involves coordinating grant applications, managing data analysis, providing guidance on research regulations, and collaborating with researchers and stakeholders to ensure seamless research documentation and compliance. Your key responsibilities will be to: supports the design of research work being undertaken in the work area manages databases, conducts data analysis, prepares reporting and presentations and carries out literature searches for the work area undertakes specific research activity as part of the broader Research agenda assists with clinical trial related activities provides research administrative support for the work area coordinates the development and submission of research publications for the work area ensures that ethics guidelines, standards and WHS requirements are met in the work area undertakes ad-hoc projects and other activities. About you tertiary qualifications in a relevant field or an equivalent combination of relevant training and experience experience coordinating and/or managing grant application processes and research administration experience conducting scientific literature searches and managing research data experience in people management, including supervising or developing staff experience working in a research-intensive environment and in the higher education sector skills in communication, attention to detail, organisation and time management, data analysis, research software, customer service, and teamwork. Sponsorship / work rights for Australia Work Rights: you must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not available for this appointment. Pre-employment checks Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. EEO statement At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community which reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ. We welcome applications from candidates from all backgrounds. How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Ajaypal Singh, Recruitment Operations by email to ajaypal.singh@sydney.edu.au. Copyright The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the Position Description for this role.