Data Scientist (Fintech)

TL;DR

Data Scientist (Fintech): Working on operational model lifecycle tasks and next-generation ML initiatives, including hybrid modeling, behavioral modeling, and automation of ML workflows with an accent on risk decisioning capabilities and future ML stack. Focus on early research and prototyping of new architectures and development of internal automation tools.

Location: Remote/Romania

Company

hirify.global creates financial freedom in the way people shop, earn and save by reshaping their relationship with money.

What you will do

• Design, develop, and maintain risk models using advanced machine learning techniques.
• Retrain, monitor, and validate existing models to ensure timely adaptation to changing customer behavior.
• Build and manage scalable data marts in BigQuery to support model development and analytical needs.
• Contribute to the development of internal automation tools.
• Provide data-driven insights through ad-hoc analyses to support product, credit, and operations teams.
• Participate in early research and prototyping of new architectures.

Requirements

• At least 2 years of experience in roles such as Data Scientist, ML Engineer, or Risk Analyst, with a proven track record of impactful contributions in credit scoring.
• Proficiency in Python and experience with key data science and machine learning libraries.
• Strong knowledge of PyTorch, with the ability to implement and fine-tune complex machine learning models.
• Advanced knowledge of SQL, with the ability to work effectively with large datasets.
• Experience in building and deploying end-to-end machine learning solutions that drive measurable business impact.
• Hands-on experience with tools like Airflow and Docker for deploying machine learning models into production.
• Fluency in English

Nice to have

• Familiarity with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure for scalable data analysis and model deployment.
• Proficiency in visualization tools like Tableau or Power BI to effectively communicate insights and support decision-making.
• Prior experience working with financial datasets and a strong understanding of risk management principles.

Culture & Benefits

• Full-time B2B contract
• Fully remote setup
• Up to 20% tax allowance
• 22 paid leave days annually
• Stock options (ESOP) in a fast-scaling, pre-IPO company
• Flexi benefits you can use for wellness, travel, or learning

Hiring process

• Applied - Review - HR call @hirify.global
• Technical interview @hirify.global
• Final interview @hirify.global - Hired