Data Scientist

AIRWALLEX (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 100,000 - 125,000; Full time

Job summary

A global fintech leader in Singapore is seeking a Data Scientist to collaborate closely with regional executives. In this role, you will leverage causal inference methods to analyze macroeconomic impacts on the business and lead forecasting efforts using advanced statistical techniques. A successful candidate will have 3+ years of industry experience and an advanced degree in a quantitative field, along with expertise in data querying and scripting languages. Join our rapidly expanding team and contribute to the future of global fintech.

Qualifications

• 3+ years industry experience in a relevant field.
• Proven track record of influencing strategy with executive stakeholders.
• Experience in forecasting and data architecture.

Responsibilities

• Act as a data partner for regional executives.
• Understand macroeconomic impacts using causal inference methods.
• Lead forecasting efforts through advanced statistical methods.
• Build data products and MVPs.

Skills

Causal inference methods

Excellent communication skills

Data querying languages (SQL)

Scripting languages (Python, R)

Education

PhD or MS in a quantitative field

Tools

Airflow

Databricks

dbt

Excel

Job description

About the team

The Strategic 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.

Learn more about the data science team in this blog

What you’ll do

Responsibilities:

• Be the go-to data partner for regional executives
• 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 1) building tools that aggregate and evaluate forecasts 2) applying advanced statistical methods to build your own forecasts.
• Scope and build data products. In some cases building MVPs, and in others, fully fleshed out solutions.

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:

• 3+ 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).