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Associate - Data Analytics and AI (Risk and Transactions)

2 weeks ago

Sydney, New South Wales, Australia KordaMentha Full time

This is a Associate - Data Analytics and AI (Risk and Transactions) role with one of the leading companies in AU right now -- KordaMentha -- with an amazing team. They are continuing to grow rapidly. This is the chance to join right as the takes off.

More About the Role at KordaMentha

## **Job Description** We are looking for an Associate who has a passion for helping clients manage their risk, compliance, financial crime or regulatory challenges through data, advanced analytics and AI approaches and technologies. You will be part of a multidisciplinary team that brings deep expertise in data sourcing, engineering, analytics methods and tools to the broader risk and transactions agenda. **Key Responsibilities:** - Advise top-tier clients to help solve complex business problems across diverse industries through use of data, cloud, analytics and AI technologies. - Play an integral role in delivering a portfolio of large and complex projects whilst also supporting and driving sales initiatives within the business - Apply technical skills and knowledge to design and deliver work streams, successfully managing project risks along the way - Analyse and integrate complex data sets and provide evidence-based actionable insights that align with business objectives. Design and implement complex data models, including those leveraging AI and Generative AI techniques, to identify, manage and prevent risk issues. - Collaborate with different service lines to identify business needs and devise data solutions, effectively communicating technical concepts to non-technical stakeholders - Continue to drive ongoing growth in the business through development of key client and service offering responsibilities, and build our presence in the market  - Stay abreast of emerging trends in data risk, usage and AI, including AI regulations, governance and safety in the market ## **Qualifications** - 3 - 5 years of experience in data analytics, model build and feature engineering in response to risk, compliance, financial crime or regulatory issues - Proficient in data querying and manipulation using cloud-based SQL and NoSQL database technologies, and experience in visualisation tools such as Power BI and Tableau - Hands-on experience in utilising modern MLOps/DevOps approaches to manage and deploy models at scale on Azure (preferred), AWS or GCP. Ability to prototype and bring models into production - Robust understanding of statistical methods and data modelling techniques, with expertise in data science libraries and frameworks like Scikit-learn, TensorFlow, or PyTorch and strong command of programming languages such as Python or R - Excellent communication, business writing and presentation skills, including designing and facilitating workshops - Strong attention to detail and exceptional quantitative, analytical, and problem-solving skills with a proven ability to exercise mature judgment - Strong project management skills with demonstrated capability of deliver multiple projects / work streams simultaneously, including gathering data requirements, analysing data, documenting processes, assessing risks and controls, designing solutions and creating executive presentations - Bachelor's degree in computer science, artificial Intelligence, actuarial studies, mathematics or related disciplines. - Demonstrated consulting experience in a Tier 1 or boutique consulting firm is preferred

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