Senior Data Scientist (Machine Learning)

About Us

MoneyLion is America's most powerful and rewarding financial membership, empowering people to take control of their finances to achieve their overall life goals.

Since its launch in 2013, MoneyLion has amassed more than 4 million members and has earned its customers trust with new banking and investments capabilities that offer a one-of-a-kind rewards program, no-fee checking account, overdraft protection, and loans funded in 15 seconds or less.

From a single application platform, users can get a holistic snapshot of their entire financial lives while having access to personalized and contextualized tips and tools to improve their credit and achieve everyday savings.

By rewarding financial responsibility, providing top-notch customer assistance and offering insightful financial education tips, we aim to positively impact our customers and enable them to better their financial health.

MoneyLion team members are passionate about making a difference in people's lives. We work fast, collaborate always, and above all else, we do it for our customers.

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 Senior Data Scientist in the Machine Learning Department, you will have the opportunity to build the next generation of Moneylion's machine learning algorithms to support and enhance Moneylion's data-driven products. You will lead research initiatives and experiment with state-of-the-art machine learning techniques to solve challenging business problems ranging from fraud and credit underwriting to financial recommendations and content categorization. This entails developing, validating, and deploying machine learning solutions with quick iterations, clearly defined business objectives and demonstrated improvements in business metrics. You will partner with Product, AI Engineers, MLOps, and Data Scientists to discover additional opportunities for applications of machine learning solutions to increase automation throughout MoneyLion. You will also help to define, establish, and enforce best practices across AI teams and push the frontier of innovation in MoneyLion.

Key Responsibilities

• Lead, design and build machine learning systems to solve challenging data and business problems
• Champion AI projects through envisioning and detailing milestones and roadmaps with consistent alignment across stakeholders to ensure delivery within timelines and according to project goals and product vision
• Research, adopt and implement novel and cutting-edge techniques from literature to improve the performance of existing solutions
• Challenge and improve model design given contextual constraints on product integration, business application and required timelines to iterate quickly on ideas with demonstrable results
• Collaborate with product and data scientists to appropriately craft model metrics and business metrics to clearly define the success of a machine learning project
• Drive and enforce best practices and model development policies to ensure the feasibility, generalizability, and stability of models in a production environment
• Design and develop scalable, efficient, and maintainable machine learning codebase with reusable abstractions
• Mentor, coach, and manage team members towards excellence in deliverables

About You

• Experience building, developing and validating machine learning systems in production
• Practical experience with deep learning, computer vision, and NLP projects
• Proficient with machine learning libraries and frameworks such as scikit-learn, XGBoost, LightGBM, TensorFlow, Keras
• Proficient in programming languages such as Python and SQL
• Strong understanding of data structures, data modeling and software architecture
• Deep knowledge of probability, statistics, distributions, and analysis methods
• Have strong product/business orientation

What's Next...

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

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