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Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Develop and deploy machine learning models that improve underwriting, pricing and customer management decisions.
- Work with large and complex datasets to generate insights that influence credit and commercial strategy.
- Take ownership of models and decision systems throughout their lifecycle, from research and development through production monitoring and iteration.
- Collaborate with stakeholders across the business to translate ambiguous problems into measurable outcomes.
- Contribute to the team’s technical knowledge through idea sharing, experimentation and continuous learning.
Requirements
What you’ll need- Strong programming skills in Python and SQL.
- Understanding of statistics, machine learning and quantitative problem solving.
- Ability to approach ambiguous problems with structure and pragmatism.
- Curious, fast-moving and highly collaborative mindset.
- Interest in advanced machine learning techniques and applied research (nice to have).
- Experience in credit risk, lending or broader financial services (nice to have).
- Interest in machine learning infrastructure and optimisation (nice to have).
Benefits
Comp & perks- Health coverage: support for your physical and mental wellbeing, including private health cover
- Retirement & savings: long-term financial wellbeing through retirement savings plans
- Employee referral programme: earn a competitive bonus when you refer successful new team members
- Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations
- Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLmachine learningstatisticsquantitative problem solvingadvanced machine learning techniquesmachine learning infrastructuremodel developmentdata analysisproduction monitoring
Soft Skills
problem solvingcollaborationcuriositypragmatismownershipcontinuous learningcommunicationexperimentationstakeholder engagementidea sharing
