Data Science Manager (Credit)

Location: Remote, Spain

Company

hirify.global is a global fintech building payments, banking, credit, and financial management products for millions of people and businesses across high-growth African markets.

What you will do

• Lead consumer credit data science efforts and build a scalable credit modelling function.
• Develop credit scoring, affordability, behavioural, collections, churn, and retention models.
• Design and run experiments to optimize approval rates, loss rates, and profitability.
• Partner with Consumer Credit, Product, Engineering, and product squads to embed decision logic into real-time systems.
• Ensure data quality, regulatory compliance, and ethical model use across decisioning processes.
• Mentor product squads on experimentation and data-driven decision-making practices.

Requirements

• Degree or equivalent qualifications in Statistics, Mathematics, Engineering, or a similar quantitative field.
• 5+ years of experience in data science, decision science, or risk analytics within financial services.
• 2+ years of management experience.
• Working knowledge of credit risk, consumer lending, and regulatory considerations.
• Proficiency in SQL and at least one modelling or programming language, such as Python or R.
• Experience with A/B testing, machine learning, collections modelling, and churn management, plus the ability to communicate complex analyses clearly to business stakeholders.

Culture & Benefits

• Opportunity to support financial inclusion and contribute to the African financial ecosystem.
• Flexible work arrangements.
• Continuous learning and career growth opportunities.
• Company-covered health insurance plans.
• Pension plans and individual and firmwide performance bonuses.
• Collaborative, diverse, and inclusive working environment.

Hiring process

• Introductory recruiter call.
• Interviews with the Director of Data Science and Head of Marketing Strategy & Data.
• Take-home coding or marketing modelling case study, followed by a live technical coding interview and culture and values interview.