Senior Data Scientist - MoneyLion

Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries.

Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results.

When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career – from flexible working options and time off to competitive pay, benefits and well-being programs.

At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage.

If this sounds like you, we’d love you to be part of Gen.

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!

We are looking for a Senior Data Scientist to contribute and lead others in the development of data solutions that will enable us to assist critical day to day business decisions.

As a Data Scientist in the Decision Science role, you will have the opportunity to apply analytics, experimentation and machine learning algorithms to support and enhance MoneyLion’s products with data driven decisions. You will be embedded within the product teams and deliver tangible business value by deploying or refining solutions ranging from fraud and credit underwriting to user experience optimisations, providing convincing evidence of their effectiveness. This entails designing, developing, validating, deploying and monitoring the outcome of experiments using (and refining) business objectives that will ultimately increase revenue and reduce business costs. You will partner with Product, Data Engineers and Machine Learning teams, exploring and utilizing the frontier of innovation, in order to augment analytics with AI, rapidly iterate with configurable experiments, monitor and evaluate key developments, and understand business needs intimately to help develop valuable AI solutions.

• Perform analyses to understand how our users interact with our products and how to improve our products
• Communicate findings to stakeholders in a clear and concise manner

• Lead, design and build experiments to solve challenging data and business problems
• Identify trends and opportunities from the data to define product roadmaps
• Craft business metrics, define and achieve objective targets and recommend ways to measure success
• Work with engineers to improve the data collection process
• Collaborate with product stakeholders to champion and lead data-driven decision making within the organization
• Apply, develop or refine algorithms to deliver business value
• Research, adopt and implement novel and cutting-edge techniques from literature to improve the performance of existing solutions
• Mentor, coach, and manage team members towards excellence in deliverables

• 3-5 years of working experience minimum recommended
• Experience with mentoring, training, hiring, onboarding, managing or leading a team will be advantageous
• Have strong product sense and enthusiastic to deliver business value
• Strong mathematical, statistical or actuarial background
• Must have hands on experience in machine learning, predictive analytics and statistical modeling
• Deep knowledge of probability, statistics, distributions, and analysis methods
• Demonstrably experienced at problem solving using both textbook methods and novel viewpoints
• Highly proficient in programming languages such as Python and SQL
• An understanding of data structures, data modeling, software architecture and machine learning algorithms will be an advantage
• Demonstrably experienced with data visualization
• Demonstrably excellent verbal and written communication skills
• Highly independent and self driven to deliver results

• TA Screening Call
• Take-Home Assessment
• Interview & Discussion of Take-Home Assessment - Hiring Manager (Virtual or face-to-face)

Gen is an equal opportunity employer , and we’re committed to fair, inclusive practices at every stage of the candidate and employee journey. Employment decisions are based on merit, experience and business needs.