Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Хорошая вакансия
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Чётко очерченная junior-роль, работа с кредитными моделями и хорошие льготы делают вакансию сильным стартом карьеры, но без зарплатной вилки уровень оплаты остаётся неясным.
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Зарплата не указанаАктуальные технологииПонятная рольФинтех-направлениеХороший соцпакет
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist (Fintech): Building and supporting credit risk and pricing models for lending products serving small businesses across Europe with an accent on statistical modelling, feature development, and real-world data analysis. Focus on deploying and monitoring models, investigating performance drift, and connecting analytical work to credit decisions and portfolio outcomes.
Location: London, United Kingdom; office-based role in Central London with flexible working hours.
Company
hirify.global builds a financial platform with simple tools and human support for local businesses across Europe.
What you will do
Build and test components of credit risk and pricing models under senior guidance.
Explore internal and external data, clean datasets, and engineer features for model improvement.
Analyse merchant behaviour, repayment performance, and product performance to answer business questions.
Monitor model performance, identify drift, and investigate the factors driving changes.
Support model deployment on the ML Platform and integration with the credit decisioning system.
Document analyses and collaborate with Credit Strategy, Product, Engineering, and Data Engineering.
Requirements
0–2 years of experience in data science, quantitative analysis, or a related field.
Degree in Mathematics, Statistics, Physics, Engineering, Computer Science, or another quantitative discipline.
Solid understanding of statistics and core machine learning techniques.
Working knowledge of Python and SQL, including experience with real-world datasets.
Ability to explain analytical work clearly to technical and non-technical stakeholders.
Curious, pragmatic, commercially minded, and eager to learn from feedback.
Nice to have
Exposure to credit risk modelling or financial services.
Culture & Benefits
Flexible working hours arranged with the team.
Health and life insurance, pension scheme, and 25 days of annual leave plus bank holidays.
Extended maternity and paternity leave options.
WellHub access to gyms, therapy, meditation, and fitness and nutrition applications.
Cycle-to-Work Scheme, daily office snacks, and a friendly informal office environment.
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