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2 дня назад

Junior Data Scientist (Risk Analytics & Modelling)

Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Indonesia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Junior Data Scientist (Risk Analytics & Modelling) (Python/SQL): Monitoring lending portfolio health, investigating risk drivers, and translating data findings into actionable credit decisions with an accent on anomaly detection, SQL-based analysis, and credit risk modelling. Focus on performing root cause analysis, building monitoring dashboards, and evaluating models to improve credit scoring while balancing risk control with portfolio growth.

Location: Jakarta, Indonesia

Company

hirify.global operates in the lending and financial services domain, using data-driven solutions to manage credit risk and improve portfolio quality.

What you will do

  • Monitor portfolio risk metrics and proactively identify anomalies and emerging trends.
  • Perform root cause analysis to investigate deteriorating risk indicators and suspicious behavioral patterns.
  • Translate analytical findings into credit recommendations and implement framework adjustments.
  • Build and maintain SQL-based features, analyses, and monitoring dashboards.
  • Evaluate models to support improvements in credit scoring.
  • Collaborate with business, product, engineering, and data science teams on lending risk challenges.

Requirements

  • Fresh graduate or bachelor's degree in mathematics, statistics, engineering, computer science, or another analytical discipline.
  • Hands-on experience with Python, SQL, and Microsoft Excel.
  • Ability to work with large tabular financial datasets to detect trends and anomalies.
  • Strong analytical, problem-solving, communication, and teamwork skills.
  • Willingness to learn independently, master new technologies, and take ownership of projects.
  • Comfort investigating data anomalies and communicating findings as actionable recommendations.

Nice to have

  • Exposure to credit scoring modelling concepts.

Culture & Benefits

  • Full-time employment in a fast-paced environment.
  • Work within a strong data science team.
  • Access to robust data infrastructure.
  • Collaborate across business, product, and engineering functions.

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