Head of AI Engineering, Cube
AI-driven regulatory intelligence platform
Job no longer available
AI-driven regulatory intelligence platform
501-1000 employees
Job no longer available
501-1000 employees
Company mission
To empower every regulated firm with the business intelligence to meet complex compliance challenges.
Role
Who you are
- The ideal candidate will have a strong background in AI and ML techniques, data engineering and software development, team leadership, and project management as well as direct experience in managing complex data pipelines, leveraging AI solutions and converting unstructured real-world information and documents into high-quality actionable data for demanding customers
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Engineering, or a highly related field
- Proven experience as an AI Engineering Leader including management of multiple squads and management of complex engineering delivery projects (span multiple systems and disciplines, co-ordinating product owners, business analysts, infrastructure etc)
- Proven experience in designing and deploying machine learning-driven solutions
- Solid mathematical foundation in deep learning techniques, LLM and NLP, with a strong preference for experience in working with unstructured data
- Python and relevant libraries (pytorch, numpy etc)
- Strong background in general software development, beyond AI/ML
- Strong experience with cloud environments – Azure and GCP preferable, others desirable
- Excellent project management skills and experience with Agile methodologies
- Ability to work on multiple projects in parallel, using project management and other resources effectively
- Excellent communication and interpersonal skills
- Experience running teams across multiple time zones
- Strong problem-solving abilities and analytical skills
- A track record of speaking at meet ups and conferences
What the job involves
- Reporting to the CTO, you will lead our AI Engineering teams with resources across the UK, Australia, India and Sri Lanka
- Work with product and customer teams to define and deliver AI enabled features across the stack. A combination of natural language processing and computer vision techniques are used, and we are looking to include graph machine learning as well
- Take responsibility as engineering owner for all AI projects and capabilities, from ideation through to delivery of robust and reliable production systems
- Manage the AI/ML teams clearly trading off execution and delivery vs. research and exploration
- Working within the technology group, develop and implement a data strategy for AI teams that integrates diverse data sources, ensuring efficient data collection, storage, and processing, supporting key use cases such as annotation, model training and real-time data access with a strong emphasis on data quality
- Ensure that the company is driving value and time to market by balancing the use of external capabilities and internally tuned models, constantly looking to leverage industry trends to improve performance
- Lead teams across Australia, India, Sri Lanka and the UK
- Working with the rest of the technology group to define and deliver a robust platform which allows the AI teams to easily access data in a safe way and delivery AI enabled services which fit into a robust platform
- Work closely with the CTO, Engineering and wider leadership to define and execute wider engineering and technology strategies, aligned with the company's goals
- Ensure timely delivery of high-quality work by the team, while maintaining a positive work culture
- Mentor and coach team members, encouraging their professional growth and supporting them in reaching their full potential
- Support the overall company brand by speaking at meet ups and conferences
Salary benchmarks
Our take
After the 2008 financial crash, new compliance rules and regulations swept the financial industry. Now, with the emergence of crypto technology and blockchain, regulations are evolving once again. CUBE was founded in 2011 as a RegTech company powered by AI, that delivers regulatory monitoring, reporting, and compliance within the financial industry.
CUBE’s intelligence solution helps enterprises solve complex compliance problems for both multijurisdictional needs and more specific single lines of business. Its platform tracks, analyses and monitors laws, rules and regulations in every country and language, enabling it to serve clients across the globe.
Winner of multiple awards, CUBE has a proven track record of navigating the increasingly complex compliance issues of international financial markets. In 2024 it acquired competitor Reg Room, exemplifying its strong hold on the market. It also has solid funding behind it and a growing global presence - which certainly bodes well for its future.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (1 round)
Mar 2024
$13m
GROWTH EQUITY VC
Total funding: $13m
Company HQ
City of London, London, UK
Leadership
Ben Richmond
(Founder & CEO)Also Chief Executive of IRTA (International RegTech Association), and Founder and Chairman of The Content Group.
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