AI Engineering
Description
Build and maintain Finance application, analytics, and automation use-cases by applying AI-augmented development as part of standard delivery
RESPONSIBILITIES
- Build and scale reusable data products that serve repeat demand across portfolios
- Apply AI-assisted development to code, testing, documentation, and workflow automation
- Design and operate production ETL -- ingestion, cleansing, rationalization, scheduling, monitoring
- Support credit risk model work, particularly IFRS 9 ECL validation and data lineage
- Translate business needs from Finance into technical solutions and actionable recommendations
ESSENTIAL SKILLS
- Python and SQL at production grade -- modular code, testing, error handling
- Software engineering fundamentals -- version control, code review, CI/CD
- ETL and orchestration experience at production scale
- Demonstrated AI-assisted delivery -- not just tool familiarity
- Depth in one cloud data platform; Databricks preferred
- Product mindset -- builds for the next user, not just the requester; documentation and handover as default
STRONG ADVANTAGE
- Credit risk domain -- portfolio behaviour, collections, provisioning, IFRS 9 ECL
- Telco or regulated financial services delivery
- Platform administration across AWS, GCP, or Databricks
- Responsible AI practice -- data classification, redaction boundaries, model governance
Equal Opportunity Employer
Globe’s hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe’s Diversity, Equity and Inclusion Policy Commitment can be accessed
Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.