7 Π΄Π½Π΅ΠΉ Π½Π°Π·Π°Π΄
Data Scientist (Fintech Risk Analytics & Modelling)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
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
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.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β