Senior Data Scientist
ARQ (formerly DolarApp) is a modern finance app that gives travelers, investors, and professionals access to global assets and currencies. It offers digital dollars and euros at real market rates, a borderless cashback card, international payments, and investment access to stocks and ETFs.
Funding
Projects
About ARQ
ARQ, rebranded from DolarApp, is a fintech platform aimed at making global finance accessible to travelers, investors, and professionals, primarily serving users in Mexico and Latin America. Its core offerings include converting local currency into digital dollars (USDc) and digital euros (EURc) at real market exchange rates without hidden fees, a global card offering competitive conversion rates and cashback for spending at home or abroad, and the ability to receive and send international payments (from the US and Europe) using personal account details instead of traditional remittance services. The platform also provides earnings accounts and access to leading global stocks and ETFs so users can invest and grow their wealth across markets. ARQ states it serves over 2 million people worldwide who manage their finances through the app, with app store ratings of 4.7/5 and 4.6/5.
Skills
About the Role
You'll help build the intelligence layer behind ARQ's financial products, working on some of the most important risk and financial crime challenges. You'll develop machine learning models that detect fraud, prevent losses, and drive better decisions at scale. This is a highly impactful role where you'll take problems from idea to production, partnering with Product, Engineering, and Operations teams to turn large-scale datasets into models that directly influence customer and business outcomes.
Requirements
- 5+ years of experience across Data Science, Machine Learning, Software Engineering, or related disciplines
- Strong Python skills and experience working with large-scale datasets
- Proven experience developing and deploying machine learning models in production environments
- Strong understanding of supervised learning techniques, particularly classification problems
- Experience with anomaly detection, fraud prevention, risk modeling, or related domains
- Ability to translate business challenges into data-driven solutions
- Experience working cross-functionally with Product, Engineering, and business stakeholders
- Strong communication skills and a pragmatic approach to problem-solving
- Comfortable operating in fast-moving environments with high ownership
Responsibilities
- Design, build, and deploy machine learning models that solve real-world financial crime and risk challenges
- Work on problems such as fraud detection, chargeback prediction, anomaly detection, identity verification, and transaction monitoring
- Transform ambiguous business problems into measurable ML solutions
- Partner closely with Product and Operations teams to define requirements, success metrics, and decision frameworks
- Analyse large datasets to identify patterns, opportunities, and risks
- Build and maintain production-ready data pipelines and model-serving solutions
- Monitor model performance and continuously improve accuracy, reliability, and business impact
- Collaborate with Data Engineering and Backend Engineering teams to operationalise machine learning at scale
- Help shape the future of AI and machine learning capabilities across ARQ
Benefits
- Stock options
- Discretionary performance bonus
- The latest tools and technology