Risk Modelling

PT Amartha Mikro Fintek (Jakarta); Daerah Khusus Ibukota Jakarta; On-site; IDR 100.000.000 - 200.000.000; Full time

Job summary

Une entreprise technologique à Jakarta recherche un Analyste Modélisation des Risques pour renforcer son équipe de gestion des risques. Le candidat idéal aura une forte expérience en modélisation statistique et une compréhension des principes de risque de crédit. Ce rôle est essentiel pour améliorer la gestion des risques de prêt numérique et soutenir l'expansion de leurs produits financiers digitaux.

Qualifications

• Min 3–5 ans d'expérience en modélisation des risques ou analyse de crédit.
• Compétences en modélisation statistique et techniques de machine learning requises.
• Maîtrise du SQL et Python essentielle.

Responsibilities

• Créer et valider des modèles statistiques pour prévoir les risques de crédit.
• Analyser de grands ensembles de données pour identifier les tendances de risque.
• Surveiller la performance des portefeuilles et identifier les risques émergents.

Skills

Modélisation statistique

Analyse de données

Techniques de machine learning

SQL

Python

Analyse prédictive

Education

Licence ou Master en Statistiques

Mathématiques, Science des données, Économie ou Finance

Job description

Amartha is a technology company focused on creating shared prosperity by developing digital financial solutions for the grassroots economy. Founded in 2010 as a microfinance institution, Amartha connects rural, women-led micro-enterprises with affordable capital. Amartha is expanding as a tech company, building a microfinance ecosystem that connects to the growing digital economy through capital, investment, and payment services. By boosting the competitiveness of micro and small entrepreneurs, Amartha empowers women-led MSMEs, creates jobs, and fosters inclusive economic growth.

About the team

Amartha is actively expanding its digital risk management team as part of our strategic commitment to digital transformation in 2025. We aim to enhance our capabilities in managing digital lending risks to support the growth of our digital financial product portfolio. To that end, we are seeking a highly skilled Risk Modelling Analyst to join our team. This role will be instrumental in supporting risk management strategies for our digital lending platforms by developing robust forecasting models. The ideal candidate will contribute to ensuring that we continue delivering secure, data-driven, and effective financial solutions to our customers.

Roles and Responsibilities

• Design, implement, and validate statistical models to forecast credit risk, default probabilities, and other key risk metrics for digital lending products.
• Analyze large datasets to identify risk patterns and trends; extract, transform, and engineer features to enhance model performance.
• Continuously monitor the credit performance of lending portfolios and identify emerging risks using predictive analytics and model-driven insights.
• Conduct back-testing and validation of risk models to ensure accuracy and compliance with internal policies and regulatory standards.
• Perform scenario analyses to evaluate the potential impact of macroeconomic and portfolio-specific factors on credit risk.
• Work closely with Product, Data, Technology, and Risk Strategy teams to ensure models are effectively integrated into digital lending platforms and decision engines.
• Support regulatory reporting and audits by ensuring risk models meet internal governance standards and external regulatory requirements.
• Maintain comprehensive model documentation, including methodologies, assumptions, and limitations; prepare clear reports and presentations for both technical and non-technical stakeholders.
• Stay updated on industry best practices, modeling techniques, and regulatory changes to continually enhance risk modeling frameworks.
• Ensure adherence to model governance frameworks, including version control, change management, and risk control processes.

Requirements

• Minimum 3–5 years of relevant experience in risk modeling, credit analytics, or a similar quantitative risk role.
• Bachelor’s or Master’s degree in Statistics, Mathematics, Data Science, Economics, Finance, or a related quantitative field.
• Strong proficiency in statistical modeling and machine learning techniques (e.g., logistic regression, random forest, etc.).
• Solid understanding of credit risk principles, including PD/LGD modeling (IFRS9, PSAK71), and portfolio risk management.
• Ability to design, validate, and optimize models based on business goals and risk appetite.
• Have analytical skills (moderate to advanced level using SQL) especially on forecast analysis, risk performance.
• Experience in digital lending, consumer finance, or fintech risk environments is highly desirable.
• Python skill is required.
• Fluent in both Bahasa Indonesia and English.

At Amartha, we are dedicated to creating a workplace that celebrates diversity, ensures equity, and fosters inclusion. We believe that diverse perspectives—shaped by factors such as gender, age, race, ethnicity, education, culture, and life experiences—drive innovation and growth.

We actively welcome individuals from all backgrounds to join us in building an environment where everyone feels respected, valued, and empowered. Our commitment is to provide equal opportunities and foster a sense of belonging that enables our employees to thrive and make meaningful contributions.

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