Overview
US Fintech company | Hybrid – relocation to Kuala Lumpur | Full-time
About the Company
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 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!
We are looking for a Machine Learning Engineer who is technically proficient in programming to build machine learning systems and maintain high performing machine learning models in production. Designing machine learning systems requires that you, as the machine learning engineer, is able to frame business problems and design machine learning solutions that can effectively bring value to the company. You will prototype, implement and experiment with machine learning methods to solve business use cases. You will lead efforts to automate, architect and optimise machine learning processes and workflows. You will also help define, execute and enforce best practices for test-driven model development processes for the entire Data Science team in MoneyLion.
Key Responsibilities
- Able to frame and contextualize machine learning problems
- Research, build and design machine learning systems and models that can solve business problems
- Assess, understand and analyse data to select appropriate datasets for data modelling and testing
- Identify, prototype and implement appropriate machine learning algorithms and tools to improve our products
- Design, execute and monitor machine learning model experiments and metrics
- Perform statistical analysis to evaluate and prove business impact of modelling improvements
- Automate, architect and orchestrate machine learning processes and pipelines
- Monitor, optimise and maintain machine learning solutions in production
- Enrich existing machine learning libraries and model development frameworks to empower model development in MoneyLion
- Work with MLOps Engineers and Data Scientists to improve systems designs and architectures
- Enforce test-driven development and advocate engineering best practices to reduce technical debt in machine learning systems
- Develop tools and internal libraries to facilitate model governance over the machine learning development lifecycle
About You
- 3 – 5 years of experience in machine learning
- Strong mathematical, statistical or actuarial background
- Good programming knowledge and software engineering skills
- Must have hands on experience in machine learning, predictive analytics and statistical modelling
- Experience developing and deploying machine learning models in production.
- Adept at problem solving and troubleshooting using both textbook methods and novel viewpoints
- Proficient in Python and SQL
- Proficient with machine learning libraries and frameworks such as scikit-learn, XGBoost, LightGBM
- Preferably have experience in building machine learning systems and workflows
- Preferably familiar and have experience with MLOps tools such as DVC, MLFlow, Metaflow, Seldon, BentoML
- Preferably familiar and have experience with AWS, Docker, Kubernetes.
- Solid communication and collaboration skills.
- Upper-Intermediate English.
Benefits & Details
- Unlimited Paid Time Off
- Stock Options and Bonuses
- Comprehensive medical, dental, vision and life insurance benefits
- Equity-based compensation
- Wellness perks
- Paid parental leave
- Learning and Development resources
- It’s a full-time employment
- Hybrid work (during 3 months of probation period – fully on-site)
- The office is located at Menara Exchange 106, Kuala Lumpur.
- Equipment is provided (Mac)
- No time trackers
- Working day – from 9 a.m. to 6 p.m, can be flexible
- Visa sponsorship to Malaysia
Relocation
❗️Please, note: this role is only hybrid with relocation to Kuala Lumpur. If you’re not currently based in Malaysia, MoneyLion offers a relocation package. This includes:
- Visa sponsorship.
- A one-way flight ticket to Malaysia.
- One month of accommodation to help you get settled.
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.
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.
What’s Next…
After you submit your application, you can expect the following steps in the recruitment process:
- Prescreening Call
- 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 reapply after 6 months.*
Interested? Let’s connect and discuss the details!
Email: yuliana.rybka@sunvery.com.ua
