Senior Data Scientist

6 days ago

Kuala Lumpur, Kuala Lumpur, Malaysia Funding Societies | Modalku Group Full time

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 provide business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. 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.

We are seeking a highly motivated and skilled Senior Data Scientist to join our dynamic team at Funding Societies. You will have the opportunity to work with a diverse team of experts in a collaborative and innovative environment. In this role, you will be responsible for analyzing complex datasets, developing predictive models, and providing insights that drive business decisions.

What you will do:

Model Development and Deployment:

  • Design, build, and deploy machine learning models for credit scoring, risk assessment, fraud detection, and customer segmentation.
  • Calibrate model parameters and optimize existing business logic and parameters.
  • Ensure models are robust, interpretable, and provide actionable insights.

Data Analysis and Insights:

  • Conduct thorough data analysis to identify trends, patterns, and opportunities to enhance existing scorecards and processes.
  • Develop and maintain dashboards and reports to track model key performance metrics and provide actionable insights to stakeholders.

Model Infrastructure and MLOps:

  • Develop and maintain model infrastructure to support the lifecycle of machine learning models from development to production.
  • Automate workflows for model training, validation, deployment, testing, and monitoring to ensure efficiency and reliability.

Mentorship and Leadership:

  • Mentor and provide guidance to junior data scientists and analysts in the team.
  • Lead data science projects from inception to completion, ensuring timely delivery and alignment with business goals.

Requirements:

What we are looking for:

  • 5+ years of experience in data science, preferably within the fintech or financial services industry.
  • Proven experience in developing and deploying machine learning models in a production environment.
  • Strong background in statistical analysis and machine learning.
  • Expert in credit modeling and risk management would be an added advantage.

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 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 productivity.
Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

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