Associate - Data Analytics and AI (Risk and Transactions)

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

Additional Information

At KordaMentha, we offer far more than just a job—we offer an opportunity to grow your career, expand your professional network, and make a tangible impact. As an integral part of our team, you'll collaborate closely with senior leaders in a firm that thrives on innovation and high-performance culture.

At KordaMentha, we believe there is strength in difference. Our entrepreneurial spirit expands the possibilities for action. We approach situations, challenges, and opportunities with optimism, curiosity, and diversity of thought. We seek novel solutions to problems and encourage unconventional and innovative approaches.

Our team's diverse skillsets, backgrounds and experiences fuel KordaMentha's different mindset. We encourage candidates from all backgrounds to apply, recognising that talent and potential extend beyond traditional qualifications. Our selection process values diverse perspectives and considers each applicant's unique strengths and capabilities.

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