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Funding Societies

Data Scientist

Sorry, this job was removed at 12:19 p.m. (IST) on Sunday, Jul 27, 2025
In-Office or Remote
3 Locations
In-Office or Remote
3 Locations

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Description

Funding Societies | Modalku is the largest SME digital finance platform in Southeast Asia. We are licensed and operating  in Singapore, Indonesia, Thailand, Malaysia and Vietnam, and backed by Sequoia India (Peak XV), Softbank Vision Fund, Khazanah and SMBC bank amongst many others. Funding Societies | Modalku provides business financing to small and medium-sized enterprises (SMEs), which is funded by individual and institutional investors, as well as payments solutions to SMEs and consumers.

Here at Funding Societies | Modalku we live by our core values GETFS:

  • 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? We're 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 you're 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.
Requirements

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.
Benefits

Other Benefits:

  • Time off - We would love you to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country. We also like to have our people take a day off for special days like birthdays and work anniversaries.
  • Flexible working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life.
  • Medical benefits - We offer health insurance coverage for our employees and dependents. Our people focus on our mission knowing we have their backs for their loved ones too.
  • Mental health and wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we organize org-wide fitness initiatives and engage partners to provide well-being coaching.
  • Tech support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity

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