Senior Data Scientist, Analytics (Risk & Fraud) at Airwallex - Singapore

Role Overview

Airwallex is seeking a talented and experienced Senior Data Scientist to join our Analytics team, focusing on Risk & Fraud. In this role, you will be instrumental in building and enhancing our risk platform, utilizing advanced analytics and machine learning techniques to enable real-time decision-making across our diverse product lines and platforms. You will be responsible for conducting risk analysis on both transaction and merchant levels, developing sophisticated risk detection frameworks, and empowering the business with data-driven insights. Your work will directly contribute to minimizing financial crime and ensuring regulatory compliance, while also optimizing customer experience and operational efficiency.

A Day in the Life

Here's a glimpse into what your day might look like:

• Morning: Start your day by reviewing the performance of existing risk models and identifying areas for improvement. You'll analyze recent fraud trends and discuss potential new strategies with the team.
• Mid-day: Dive into data analysis, exploring transaction patterns and merchant behavior to identify anomalies and potential risks. You might be using SQL to query large datasets or Python to build and test new machine learning models.
• Afternoon: Collaborate with product managers and engineers to implement new risk controls and features. You'll also prepare a presentation for senior management, outlining your findings and recommendations for improving our risk management strategy.
• Late Afternoon: Work on optimizing existing risk models and developing new machine learning models to detect and prevent fraudulent activities. You'll also document your work and share your knowledge with the team.

Why Singapore?

Singapore is a global hub for innovation and technology, making it an ideal location for a Data Scientist. Airwallex's Singapore office is at the heart of our Asia-Pacific operations, offering you the opportunity to work on cutting-edge projects with a diverse and talented team. Singapore's vibrant culture, excellent infrastructure, and strategic location also make it a great place to live and work.

Career Path

At Airwallex, we are committed to your professional growth. As a Senior Data Scientist, you'll have the opportunity to develop your expertise in risk management, fraud detection, and machine learning. You can advance to roles such as Principal Data Scientist, Data Science Manager, or even lead a team of data scientists. We also encourage cross-functional collaboration and provide opportunities to learn about other areas of the business.

Salary & Benefits

Airwallex offers a competitive salary and benefits package, commensurate with your experience and skills. We also provide opportunities for professional development and growth, as well as a supportive and collaborative work environment. Our benefits include comprehensive health insurance, generous paid time off, employee stock options, and flexible work arrangements.

Airwallex Culture

At Airwallex, we value innovation, collaboration, and customer focus. We are a team of passionate builders and problem-solvers who are committed to making a difference. We encourage our employees to take ownership, be curious, and move fast. We also believe in work-life balance and provide a supportive environment where everyone can thrive.

How to Apply

If you are a talented and experienced Data Scientist with a passion for risk management and fraud detection, we encourage you to apply. Please submit your resume and cover letter through our online application portal. We look forward to hearing from you!

Frequently Asked Questions (FAQ)

1. What are the key responsibilities of a Senior Data Scientist in Risk & Fraud at Airwallex? Crafting risk strategies, conducting risk analysis, developing risk detection frameworks, and empowering the business with data-driven insights.
2. What qualifications are required for this role? Bachelor's or Master's degree in a quantitative field, 5+ years of experience in data science, and experience in risk management or fraud detection.
3. What skills are essential for success in this role? Data analysis, risk management, machine learning, SQL, Python, communication, and problem-solving.
4. What is the career path for a Senior Data Scientist at Airwallex? Opportunities to advance to Principal Data Scientist, Data Science Manager, or lead a team of data scientists.
5. What is the company culture like at Airwallex? Innovative, collaborative, customer-focused, and supportive.
6. What benefits does Airwallex offer? Competitive salary, comprehensive health insurance, paid time off, employee stock options, and flexible work arrangements.
7. What is the work environment like at Airwallex? Fast-paced, collaborative, and challenging.
8. What opportunities are there for professional development at Airwallex? Learning and development programs, cross-functional collaboration, and opportunities to attend conferences and workshops.
9. How does Airwallex support work-life balance? Flexible work arrangements, generous paid time off, and a supportive work environment.
10. What tools and technologies will I be using in this role? SQL, Python, R, Tableau, Power BI, and various machine learning libraries and frameworks.