Senior Data Scientist

PT Mitrausaha Indonesia Grup; Kuala Lumpur; On-site; MYR 60,000 - 100,000; Full time

Job summary

Join an innovative firm as a Senior Data Scientist, where you will leverage your expertise to develop and deploy machine learning models that drive impactful business decisions. Collaborate with a diverse team in a dynamic environment, focusing on credit scoring, risk assessment, and data analysis. This role offers an exciting opportunity to lead projects and mentor junior team members, all while contributing to a rapidly growing digital financing platform in Southeast Asia. If you are passionate about data science and eager to make a difference in the fintech industry, this position is perfect for you.

Qualifications

• 5+ years of experience in data science, preferably in fintech.
• Proven experience in deploying machine learning models.

Responsibilities

• Design and deploy machine learning models for credit scoring and risk assessment.
• Conduct data analysis to identify trends and enhance scorecards.

Skills

Machine Learning

Statistical Analysis

Data Analysis

Risk Assessment

Credit Modelling

Education

Bachelor's Degree in Data Science or related field

Master's Degree in Data Science or related field

Tools

Python

R

SQL

Tableau

Job description

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 optimise 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.

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 modelling and risk management would be an added advantage.