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 in Shanghai to tackle complex analytics challenges in risk and fraud. You'll work with SQL, Python, and machine learning techniques to drive insights and improve decision-making. This role requires strong analytical skills and experience in data analysis.
Job Description
Who you are
You have 5+ years of experience in data science, particularly in analytics related to risk and fraud — you've developed models that identify and mitigate risks in financial transactions, ensuring the integrity of payment systems. Your expertise in SQL and Python allows you to manipulate and analyze large datasets effectively, drawing actionable insights that drive business decisions. You are comfortable working with machine learning algorithms and have a solid understanding of statistical analysis techniques. Your ability to visualize data and present findings clearly makes you a valuable asset to cross-functional teams.
You thrive in collaborative environments and enjoy working with diverse teams to solve complex problems. Your curiosity drives you to explore new methodologies and technologies in data science, and you are always looking for ways to improve processes and outcomes. You have a strong understanding of the financial technology landscape and are motivated by the impact your work can have on global businesses.
Desirable
Experience with cloud platforms such as AWS or GCP is a plus, as is familiarity with data visualization tools like Tableau or Power BI. Knowledge of fraud detection techniques and risk management frameworks will set you apart.
What you'll do
In this role, you will lead analytics projects focused on risk and fraud detection, utilizing your data science skills to develop predictive models that enhance the company's fraud prevention strategies. You will collaborate closely with engineering and product teams to integrate your models into existing systems, ensuring they are scalable and effective. Your responsibilities will include conducting thorough data analysis to identify trends and anomalies, presenting your findings to stakeholders, and recommending actionable strategies based on your insights.
You will also mentor junior data scientists, sharing your knowledge and expertise to help them grow in their roles. Your contributions will directly influence the company's ability to manage risk and improve customer trust in our financial platform. You will have the opportunity to work on high-visibility projects that have a significant impact on the business and its customers.
What we offer
Airwallex provides a dynamic work environment where innovation is encouraged. You will have access to cutting-edge tools and technologies to support your work. We offer competitive compensation and benefits, along with opportunities for professional development and career growth. Join us in building the future of global payments and financial solutions.
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