Data Science Manager

MoneyLion Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

About the Role

The Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride ourselves on innovative initiatives and thrive in a fast paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry!

As a Data Science Manager in the Machine Learning Department, you will have the opportunity to lead a high-performing team responsible for developing the next generation of MoneyLion’s machine learning algorithms behind MoneyLion’s data-driven products. You will lead research initiatives and experiment with state-of-the-art AI and machine learning techniques to solve challenging business problems ranging from fraud and credit underwriting to financial recommendations and content categorization. This involves driving technological innovation across a large variety of domains while consistently delivering measurable business value and demonstrating accelerated team performance. You will extend your influence across Product, AI Engineers, MLOps, and Data Scientists to pioneer additional opportunities for applications of AI and machine learning solutions. You will establish and enforce model governance standards across AI projects, provide confidence in the integrity of the models deployed, and push the frontier of AI and machine learning in finance at MoneyLion.

Key Responsibilities

• Lead the technical direction and execution of the complete AI & machine learning lifecycle, from research and development to validation, deployment, and post-production
• Envision and craft roadmap for AI & machine learning projects towards well-defined success metrics
• Ensure the delivery of AI & machine learning systems according to roadmap and with exceptional quality
• Provide thought leadership in ideating and innovating on cutting-edge techniques from literature to improve the performance of existing solutions
• Collaborate across company leadership and partner with stakeholders to drive adoption of machine learning models, identify and remove roadblocks while minimizing risk to the business and the team
• Define and drive best practices and model development policies to ensure the feasibility, generalizability, and stability of models while ensuring verbose documentation and diagrams are maintained
• Establish and define frameworks for ensuring robust development of machine learning codebase to enable maintainable and continuous improvements with measurable business impact

About You

What’s Next

After you submit your application, you can expect the following steps in the recruitment process :

Note : If you’ve already sent in your application for this position and were not selected, please re-apply after 6 months.

What We Value

We value growth-minded and collaborative people with high learning agility who embody our core values of teamwork, customer-first and innovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.

Working At MoneyLion

At MoneyLion, we want you to be well and thrive. Our generous benefits package includes :

MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.

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Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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