Senior Data Scientist
CurrencyFair is a global cross-border payments platform which allows individuals and SMEs to manage their international payments through a digital self-service account, with offices in Ireland, UK, Hong-Kong, Singapore & Australia. We recently announced our merger with Assembly Payments, one of the fastest growing FinTechs with a presence in Australia, Singapore, the Philippines and the US, helping business customers build automated payment workflows & payment gateways through APIs, pushing the boundaries of what’s possible & reducing the complexity of running a business.
Our combined structure of 170 people, now plans to expand our presence across APAC, Europe, the Middle-East, and the US. We are therefore looking for skilled, motivated & passionate people who want to be part of the next generation of global payments.
The Marketing & Business Intelligence Team
The marketing and business intelligence team has the exciting job of bringing the Assembly Payments and CurrencyFair brands to the world. We are a smart, fun and dynamic team of content marketers, product marketers, digital marketers, inbound marketers and marketing operation whizzes. Our valued customers are global consumers and businesses and we take great care to ensure that their experience with us is exceptional. But we don’t do this alone, we work very closely with our friends and colleagues in Product, Compliance, Customer Experience and other departments to build and refine a truly superb customer journey.
About The Role
This is a 12 month contract role in the business intelligence function helping to deliver insights that contribute to the operational, tactical and strategic decision making across the company.
- Provide actionable insights to the business, in particular Marketing and Sales, enabling the company to better understand, target, and grow our customer base.
- Maintain data models, reporting systems, data automation systems, dashboards and performance metrics, using SQL, Python and Tableau, that support key business decisions and maximise efficiencies for the Data Team and wider company.
- Communicate results and business impacts to stakeholders across the business including but not limited to sales, marketing, compliance, operations and finance.
- Utilise analytical expertise and industry knowledge to proactively seek out areas for improvement within the business.
Knowledge, Skills and Abilities
5 years of experience
Strong knowledge of SQL, and working knowledge of Python
Experience with data visualisation tools, e.g. Tableau
Expertise with fundamental statistical analysis
Ability to solve problems using data and clearly communicate the results
Strong ability to multi-task / balance conflicting priorities and work to tight deadlines.
Nice to Have
Experience working with AWS EC2 Linux instances