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For Companies At a Glance
- Tasks: Lead data initiatives, partner with executives, and build forecasting tools to drive business growth.
- Company: Join Airwallex, a $5.6 billion fintech leader empowering 150,000+ global businesses.
- Benefits: Enjoy a dynamic work environment, mentorship opportunities, and the chance to shape the future of finance.
- Why this job: Be part of an innovative team tackling complex data challenges in a rapidly growing industry.
- Qualifications: 7+ years experience in data science with advanced degree; expertise in SQL, Python, and causal inference.
- Other info: Airwallex values diversity and is committed to equal opportunity in hiring.
The predicted salary is between 48000 - 84000 £ per year.
About Airwallex
Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 150,000 businesses worldwide with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 1,700 of the brightest and most innovative people in tech across more than 37 locations around the globe. Valued at US$5.6 billion and backed by world-leading investors, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.
About the team
The Global Revenue Data Science team provides Airwallex’s Leadership with the data, tooling, and insights needed to amplify Airwallex’s rapid growth. We partner across the entire business, giving us an overarching view and opinion on what Airwallex should prioritize. Our expertise spans the full data stack, and we use it to tackle complex data problems that will shape the future of global fintech. The team is growing quickly, and currently based in the US, China, and Singapore.
What you’ll do
- Be the go-to data partner for the CEO and Regional Business Leads.
- Partner with Finance, Data Engineering, and Product to align metric definitions/dimensions and data sources across the business.
- Use causal inference methods to understand how macroeconomic events impact the business.
- Leverage AI to generate insights and improve business and team efficiency.
- Lead Airwallex’s forecasting efforts by building tools that aggregate and evaluate forecasts and applying advanced statistical methods to build your own forecasts.
- Scope and build data products, including MVPs and fully fleshed out solutions.
- Mentor junior team members and cultivate an environment grounded in technical excellence, clear communication, and proactive critical thinking.
Who you are
We’re looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.
Minimum qualifications:
- 7+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics).
- Excellent communication skills, ideally with a proven track record of working directly with executive-level stakeholders to influence strategy.
- Expertise in causal inference methods and forecasting.
- Expertise in data querying languages (e.g. SQL) and scripting languages (e.g. Python, R).
- Experience with data architecture technologies such as Airflow, Databricks, and dbt.
Preferred qualifications:
- Experience in technology, financial services and/or a high growth environment.
- Experience with Excel and Finance systems (e.g. Oracle).
Equal opportunity
Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.
Staff Data Scientist, Global Revenue employer: Airwallex
Contact Detail:
Airwallex Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Scientist, Global Revenue
✨Tip Number 1
Familiarise yourself with Airwallex's business model and the fintech landscape. Understanding how their platform integrates various financial services will help you articulate how your skills can contribute to their growth.
✨Tip Number 2
Network with current or former employees of Airwallex on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations for the Staff Data Scientist role.
✨Tip Number 3
Brush up on your causal inference methods and forecasting techniques. Be prepared to discuss specific examples of how you've applied these skills in previous roles, as they are crucial for the responsibilities outlined in the job description.
✨Tip Number 4
Showcase your communication skills by preparing to discuss how you've influenced strategy in past positions. Highlighting your experience working with executive-level stakeholders will demonstrate your ability to be the go-to data partner for leadership.
We think you need these skills to ace Staff Data Scientist, Global Revenue
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience, especially in data science and quantitative fields. Emphasise your expertise in causal inference methods, forecasting, and any experience with data querying languages like SQL or scripting languages such as Python or R.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about the role at Airwallex. Mention specific projects or experiences that demonstrate your ability to work with executive-level stakeholders and influence strategy, as well as your experience in high-growth environments.
Showcase Your Technical Skills: Be sure to include any relevant technical skills in your application. Highlight your experience with data architecture technologies like Airflow, Databricks, and dbt, as well as your proficiency in Excel and finance systems if applicable.
Prepare for Potential Interviews: While this is part of the application process, it's good to prepare for interviews by thinking about how you would approach complex data problems. Be ready to discuss your past experiences and how they relate to the responsibilities outlined in the job description.
How to prepare for a job interview at Airwallex
✨Understand the Business Model
Familiarise yourself with Airwallex's unique payment and financial platform. Knowing how they empower businesses globally will help you articulate how your skills can contribute to their mission.
✨Showcase Your Technical Skills
Be prepared to discuss your expertise in causal inference methods, forecasting, and data querying languages like SQL. Highlight specific projects where you've successfully applied these skills.
✨Communicate Effectively
Since the role involves working with executive-level stakeholders, practice clear and concise communication. Be ready to explain complex data concepts in a way that is easily understandable.
✨Demonstrate Leadership and Mentorship
As the position involves mentoring junior team members, think of examples from your past where you've led a team or helped others grow. This will show your ability to cultivate a positive team environment.
