Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provides business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. And here at Funding Societies | Modalku we live by our core values:

Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.
Grow Relentlessly: Strive to become our best, most authentic selves.
Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed.
Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation.
Focus on Impact: Create impact through bias for action and tangible results.

Are you passionate about data and eager to make a real impact? Were looking for a motivated Data Scientist to join our driven, fun, and fast-paced team at Funding Societies! This is a fantastic opportunity to collaborate with seasoned experts, sharpen your skills, and contribute to projects that shape the future of our business. If youre ready to dive into data, build models, and learn every day, this role is for you!

What you will do:

Model Development and Analysis:

Dive into real-world data to design and develop machine learning models for credit scoring, risk assessment, fraud detection, and more.
Support the calibration of model parameters and the optimisation of business logic.
Ensure models provide meaningful, actionable insights that help drive key business decisions.

Data Exploration and Insights:

Analyse datasets to identify trends, patterns and opportunities for improving existing models, scorecards, and processes.
Collaborate with the team to create automated reports and dashboards that track how models are performing and provide valuable insights to stakeholders.

Model Infrastructure and Automation:

Maintain and improve the infrastructure supporting the development, deployment, and production lifecycle of machine learning models.
Participate in automating workflows for tasks like model training, validation, and monitoring.

What we are looking for:

1-3 years of experience in data science or related fields.
Proven experience as a model developer in machine learning and statistical analysis projects.
Familiarity with programming languages like Python and SQL.
Interest and experience in fintech and credit modelling is a bonus.

Others:

Strong analytical mindset with attention to detail and a problem-solving attitude.
Eager to collaborate and grow in a team that values proactivity, creativity, and continuous learning.
Great communication skills, both for discussing technical solutions and presenting insights to non-technical stakeholders.