Associate Director - Data Analytics and AI (Risk and Transactions)

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. 
 

Key Responsibilities:

• Advise toptier 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 datadriven strategies analyse and integrate complex data sets and provide evidencebased 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 onthejob training and coaching 
• Collaborate with different service lines to identify business needs and devise data solutions effectively communicating technical concepts to nontechnical 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

Qualifications :

• At least 8 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 cloudbased SQL and NoSQL database technologies. Building visualisations in Power BI or Tableau is desirable but not mandatory
• 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 Scikitlearn 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 problemsolving 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
• Bachelors degree in computer science artificial Intelligence actuarial studies mathematics or related disciplines. A Masters degree or PhD is preferred
• Demonstrated consulting experience in a Tier 1 or boutique consulting firm is preferred

Additional Information :

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 teams diverse skillsets backgrounds and experiences fuel KordaMenthas 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 applicants unique strengths and capabilities.

Remote Work :

No

Employment Type :

Fulltime