We are looking for an Associate Director 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.

QUALIFICATIONS

• At least 6 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. Building visualisations in Power BI or Tableau is desirable but not mandatory
• Demonstrated 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 stakeholder management, communication and presentation skills
• Strong attention to detail and exceptional quantitative, analytical, and problem-solving skills with a proven ability to exercise mature judgment
• Demonstrated ability to handle ambiguity, navigate through change, and deliver results effectively
• Experience leading and developing teams on data programs of work
• Strong project management skills with demonstrated capability of managing multiple projects / work streams simultaneously
• 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

• 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 leading and 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 lead work streams, successfully managing project risks and financials along the way
• Develop data-driven strategies, 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.
• Develop, lead and mentor teams, fostering a culture of continuous improvement and innovation through formal training programmes, on-the-job training, and coaching
• 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 staff as well as 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