обновлено 12 часов назад
Data Scientist (Risk Analytics & Modelling)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (Risk Analytics & Modelling) (Python/SQL): Monitoring lending portfolio health and analyzing financial datasets to identify risk drivers and translate findings into actionable credit decisions with an accent on anomaly detection, SQL-based monitoring, and credit risk analysis. Focus on investigating deteriorating risk indicators, building surveillance dashboards, and evaluating models to improve credit scoring while balancing risk control with portfolio growth.
Location: Jakarta, Indonesia
Company
develops lending and financial products supported by data-driven risk analysis and credit decisions.
What you will do
- Monitor portfolio risk metrics and proactively identify anomalies and emerging trends.
- Perform root cause analysis to determine why risk indicators deteriorate, including investigating suspicious behavioral patterns.
- Translate analytical findings into concrete recommendations and implement framework adjustments.
- Build and maintain SQL-based features, analyses, and monitoring dashboards for ongoing risk surveillance.
- Evaluate models periodically to support improvements in credit scoring.
- Partner with business, product, engineering, and data science teams to improve portfolio quality while balancing risk control and growth.
Requirements
- Bachelor's degree or fresh graduate in mathematics, statistics, engineering, computer science, or another analytical or quantitative discipline.
- Hands-on experience with Python, SQL, and Microsoft Excel for statistical and analytical work.
- Comfort working with large tabular financial datasets to detect trends and anomalies.
- Strong problem-solving, communication, teamwork, and independent learning skills.
- Ability to take ownership of projects and communicate findings as actionable recommendations.
- Willingness to work in Jakarta, Indonesia.
Nice to have
- Exposure to credit scoring modelling concepts.
Culture & Benefits
- Fast-paced working environment focused on challenging lending problems.
- Work within a strong data science team with access to robust data infrastructure.
- Opportunities to learn and master new technologies and analytical techniques.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →