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7 Π΄Π½Π΅ΠΉ Π½Π°Π·Π°Π΄

Data Scientist (Fintech Risk Analytics & Modelling)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
onsite
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
junior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Indonesia
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR
Data Scientist (Fintech Risk Analytics & Modelling): Monitoring lending portfolio health and analyzing financial datasets to identify risk drivers, anomalies, and opportunities to improve credit decisions with an accent on SQL-based monitoring, root cause analysis, and portfolio quality. Focus on detecting suspicious behavioral patterns, translating findings into actionable recommendations, and evaluating credit scoring models.

Location: Jakarta, Indonesia

Company

hirify.global supports lending operations through risk analytics, portfolio monitoring, and credit decision improvements.

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 credit recommendations and implement adjustments.
  • Build and maintain SQL-based features, analyses, and monitoring dashboards.
  • Evaluate models occasionally to support credit scoring improvements.
  • Collaborate 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 status in an analytical or quantitative discipline such as mathematics, statistics, engineering, or computer science; other disciplines may also be considered.
  • Hands-on experience with Python, SQL, and MS Excel for statistical and data analysis.
  • Comfort working with large tabular datasets to detect trends and anomalies.
  • Strong communication, problem-solving, independent learning, and project ownership skills.
  • Ability to communicate analytical findings as actionable recommendations and collaborate effectively in a team.

Nice to have

  • Exposure to credit scoring modelling concepts.

Culture & Benefits

  • Work in a fast-paced environment with a strong team of data scientists.
  • Access robust data infrastructure for financial and portfolio analysis.
  • Partner cross-functionally with business, product, and engineering teams.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’