About Airwallex
Empowering businesses with seamless cross-border payments
Key Highlights
- Valuation exceeds $5 billion with $1.2 billion raised
- Over 20,000 corporate customers using its services
- Headquartered in Fitzrovia, London, UK
- Offers corporate cards and expense management solutions
Airwallex, founded in 2015 and headquartered in Fitzrovia, London, is a leading fintech company specializing in cross-border payments and foreign exchange solutions. With a valuation exceeding $5 billion, Airwallex has raised $1.2 billion in funding and serves over 20,000 corporate customers, provid...
🎁 Benefits
Employees enjoy a flexible work environment with 3 months of 'work from anywhere' policy each year, along with on-site meals and snacks to enhance wor...
🌟 Culture
Airwallex fosters a culture focused on simplifying global financial transactions for businesses, aiming to disrupt traditional banking with competitiv...
Skills & Technologies
Overview
Airwallex is hiring a Senior Data Scientist to focus on analytics related to risk and fraud. You'll leverage your expertise in Python and SQL to analyze data and develop models. This position requires significant experience in data science and analytics.
Job Description
Who you are
You have 5+ years of experience as a Data Scientist, particularly in analytics related to risk and fraud — you've developed and implemented models that mitigate risks and enhance fraud detection. Your strong analytical skills enable you to interpret complex datasets and derive actionable insights that drive business decisions.
You are proficient in Python and SQL, using these tools to manipulate data and perform statistical analyses — your experience with machine learning frameworks allows you to build predictive models that improve operational efficiency. You understand the importance of data visualization and can effectively communicate your findings to stakeholders.
You thrive in collaborative environments, working closely with cross-functional teams to understand their data needs and deliver solutions that meet those requirements — your ability to communicate complex concepts in simple terms makes you a valuable team member.
You are driven by curiosity and a desire to solve complex problems — you enjoy digging deep into data to uncover trends and patterns that others might miss. You are comfortable with ambiguity and can adapt your approach as new information becomes available.
Desirable
Experience in the fintech industry is a plus, as it gives you a unique perspective on the challenges and opportunities in payments and financial services — familiarity with risk management frameworks and fraud detection techniques will set you apart.
What you'll do
In this role, you will analyze large datasets to identify trends and patterns related to risk and fraud — you will develop and implement machine learning models that enhance the company's ability to detect fraudulent activities. You will collaborate with product and engineering teams to integrate these models into existing systems, ensuring they operate effectively in real-time.
You will be responsible for presenting your findings to stakeholders, translating complex data into actionable insights that inform strategic decisions — your ability to create compelling visualizations will help convey your messages clearly. You will also mentor junior data scientists, sharing your knowledge and expertise to help them grow in their roles.
You will stay up-to-date with the latest developments in data science and machine learning, continuously seeking ways to improve your skills and the team's capabilities — your proactive approach will contribute to the overall success of the analytics team.
What we offer
Airwallex provides a dynamic work environment where innovation is encouraged — you will have the opportunity to work on high-impact projects that shape the future of global payments. We offer competitive compensation and benefits, along with opportunities for professional development and growth within the company.
Join us at Airwallex, where you can make a real impact and be part of a team that is transforming the financial landscape for businesses worldwide.
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