Role Overview
Join our Data Science team supporting surveillance in a collaborative and high-performing environment. You will focus on delivering advanced analytical solutions and detection models to manage risk within a global financial services group. This role involves end-to-end product ownership in a modern DevOps culture, focusing on NLP model development, MLOps model risk management, and governance.
Responsibilities
- End-to-end ownership of products in a modern DevOps culture.
- NLP model development and MLOps model risk management.
- Governance in iterative cycles.
- Stakeholder management with various colleagues and vendors.
- Applying an agile mindset to deliver analytical solutions.
Requirements
- Minimum bachelor’s degree in statistics, engineering, mathematics, computer science, or a relevant quantitative discipline.
- 2-5 years of experience in Model development, Python programming, and Data Analytics.
- Proficiency with Python, SQL, and AWS.
- Experience in Machine Learning, specifically NLP.
- Prior experience with trading in financial markets and investment funds is advantageous.
Skills
- Python
- SQL
- AWS
- NLP
- Machine Learning
Benefits
- 1 wellbeing leave day per year.
- Paid maternity/parental leave and transition leave.
- Company-subsidised childcare services.
- Paid volunteer leave and donation matching.
- Comprehensive medical and life insurance cover.
- Access to Employee Assistance Program and learning/development opportunities.
- Hybrid and flexible working arrangements.
- Reimbursement for work from home equipment.