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Let’s talk about Finyard Since our inception in 2018, we've been at the forefront of developing cutting-edge software solutions that simplify transactions and empower users globally. Imagine being part of a global team comprising brilliant minds – engineers, data scientists, marketeers, and financial experts – all driven by an unyielding passion for technology and innovation. With a network spanning 152 countries and 1 million users, our impact is truly global. With a team of 150+ individuals distributed across 4 offices and 70% working remotely worldwide, our culture is truly global. In addition to our award-winning products like trading platforms and digital asset exchanges, we're actively building new services, including payment infrastructure and licensed brokerage services, shaping the future landscape of finance. This is Finyard!
Careers at Finyard
At Finyard, we’re a global team of engineers, data scientists, marketeers, and financial experts, passionate about technology and innovation. We’re all about bringing revolutionary software services to people all around the world, and have been since 2018.
Our mission is to innovate by launching modern software solutions in the FinTech space, giving users around the world simpler and quicker ways to transact and manage their investments. We are committed to ensuring every product we release is in service of our users, so that as we grow, so do they.
How you are going to make an impact 🛠
- Investigate user behaviour on the platform (web, mobile apps);
- Development of anti-fraud algorithms (payments, partnership);
- Design and conduct A/B tests;
- Formulate requirements and actively participate in the development of data marts;
- Enhance the product performance metrics system;
- Collaborate with product teams to test hypotheses, interpret data, and make informed decisions;
- Conduct research and ad-hoc analyses.
Discover your Fit 🪄
- Minimum one year of experience as a data analyst;
- Proficient in SQL, Python (pandas, numpy, scikit-learn, etc.);
- Experience with analytical databases;
- Strong knowledge of mathematics and statistics;
- Ability to derive conclusions from the data and present them to non-technical stakeholders;
- Familiarity with at least one data visualisation system (we use Metabase and Tableau);
- At least B2 level of English.