Data Science Manager

Avast; Kuala Lumpur; On-site; MYR 150,000 - 200,000; Full time

Job summary

A leading financial technology firm is seeking a Data Science Manager in Kuala Lumpur to lead a high-performing team in developing machine learning algorithms. This role involves driving innovation, overseeing the entire ML lifecycle, and ensuring robust development practices. Ideal candidates will have experience in machine learning systems, deep learning, Python, and collaboration across teams. A commitment to building solutions with measurable business impacts is essential. Join a multicultural team dedicated to disrupting finance for the better.

Qualifications

• Experience leading data science teams focused on success metrics.
• Proven track record of building and validating machine learning systems.
• Strong understanding of probability, statistics, and analysis methods.

Responsibilities

• Lead the complete machine learning lifecycle from R&D to deployment.
• Craft roadmap for projects with well-defined success metrics.
• Drive adoption of models and collaborate with stakeholders.

Skills

Data science leadership

Machine learning systems

Deep learning and computer vision

NLP projects

Python

SQL

Tools

scikit-learn

TensorFlow

Keras

XGBoost

LightGBM

Job description

MoneyLion is a leader in financial technology powering the next generation of personalized products and content, with a top consumer finance super app, a premier embedded finance platform for enterprise businesses and a world‑class media arm. MoneyLion’s mission is to give everyone the power to make their best financial decisions. We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, personalization; and shortening the distance to an informed action.

In our go‑to money app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share. People take control of their finances with our innovative financial products and marketplace – including our full‑fledged suite of features to save, borrow, spend, and invest – seamlessly bringing together the best offers and content from MoneyLion and our 1,100+ Enterprise Partner network, together in one experience.

MoneyLion’s enterprise technology provides the definitive search engine and marketplace for financial products, enabling any company to add embedded finance to their business, with advanced AI‑backed data and tools through our platform and API. Established in 2013, MoneyLion connects millions of people with the financial products and content they need, when and where they need it.

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 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 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 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 machine‑learning in finance at MoneyLion.

Key Responsibilities

• Lead the technical direction and execution of the complete machine learning lifecycle, from research and development to validation, deployment, and post‑production
• Envision and craft roadmap for machine learning projects towards well‑defined success metrics
• Ensure the delivery of 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

• Demonstrated experience in leading data science teams with strong focus on success metrics
• Experience owning, building, 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...

• Online Technical Test
• Interview – Talent Acquisition Team (Virtual or face‑to‑face)
• Take‑Home Assessment
• Interview & Discussion of Take‑Home Assessment – Hiring Manager (Virtual or face‑to‑face)
• 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.

Equal‑Opportunity Statement

Gen is proud to be an equal‑opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds.

We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicants. Learn more about pay transparency.

To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.

Be careful – Don’t provide your bank or credit card details when applying for jobs. Don’t transfer any money or complete suspicious online surveys. If you see something suspicious, report this job ad.