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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying machine-learning models within regulated environments, utilizing Python and SQL for data analysis and pipeline engineering. Proficient in using AI coding tools and ensuring model explainability and fairness in compliance with regulatory standards.
Highest-signal resume keywords
Fluency In PythonFluency In SQLExperience With LLMsExperience In AWSKnowledge Of Model Risk Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine-Learning Model DevelopmentData Pipeline EngineeringFeature EngineeringModel ExplainabilityFairness Testing
Soft Skills
CollaborationProblem-Solving
Tools & Technologies
Claude CodeCursorSnowflake CortexCI/CDAWS
Industry Keywords
Regulated Lending EnvironmentBankingCreditEU AI Act
Tech Stack
Tools & technologiesAWSPythonSnowflakeSQL
About the role
Key responsibilities & impact- Own projects end-to-end from the first query through production and monitoring
- Analyse large datasets, engineer features and build robust data pipelines
- Develop, validate and improve machine-learning models for risk, affordability and credit-limit decisions
- Use LLMs to parse and categorise unstructured financial data, supported by evaluation sets
- Use AI coding agents such as Claude Code and Cursor and help the team adopt effective tools
- Keep models explainable, fair and monitored for regulators and auditors
- Use CI/CD for testing, deployment and monitoring of models in AWS
- Collaborate with risk, product and engineering teams to break complex problems into shippable steps
- Help bring Fairlo’s credit decision engine fully under Credit team ownership across two regulated markets
Requirements
What you’ll need- Fluency in Python and SQL
- Experience taking ML models into production, not just notebooks
- Hands-on daily use of AI coding tools such as Claude Code, Cursor, Snowflake Cortex or similar
- Experience building with LLMs, including prompting, structured extraction, retrieval or evaluation
- Experience running software in AWS, or strong desire to learn
- Experience in banking, credit or another regulated industry is an advantage
- Knowledge of model risk management, explainability or fairness testing is an advantage
- Familiarity with the EU AI Act is an advantage
- Ability to work in a regulated lending environment and support explainable, fair and monitored models
Benefits
Comp & perks- Health insurance
- Pension at ITP level
- Health and wellness allowance
- 30 days of vacation per year plus klämdagar off
- Possibility to use the Fairlo Cretan house for work and vacation stays
- Possibility of bike leasing
- Hybrid working model with flexible working hours
- Educational expenses for courses or books
- Top-of-the-line IT equipment of your choice
- Life insurance
- Choice of working from offices in Stockholm, Heraklion or London
- Supportive, purpose-driven team culture