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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? 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 moreSupport the calibration of model parameters and the optimisation of business logicEnsure models provide meaningful, actionable insights that help drive key business decisionsData Exploration and Insights :
Analyse datasets to identify trends, patterns and opportunities for improving existing models, scorecards, and processesCollaborate with the team to create automated reports and dashboards that track how models are performing and provide valuable insights to stakeholdersModel Infrastructure and Automation :
Maintain and improve the infrastructure supporting the development, deployment, and production lifecycle of machine learning modelsParticipate in automating workflows for tasks like model training, validation, and monitoringRequirements
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 projectsFamiliarity with programming languages like Python and SQLInterest and experience in fintech and credit modelling is a bonus.Others :
Strong analytical mindset with attention to detail and a problem-solving attitudeEager to collaborate and grow in a team that values proactivity, creativity, and continuous learningGreat communication skills, both for discussing technical solutions and presenting insights to non-technical stakeholdersBenefits
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 back 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 have Wellness Wednesdays and we engage partners to provide well-being coaching. And we have our Great FSMK Workout sessions too to keep everyone healthy and fit!Tech Support - We provide a company laptop for our employees and the best possible support for the right equipment / tools to enable high productivitySeniority level
Seniority level
Associate
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
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