Senior Data Scientist
ARQ is a financial services platform that lets users in Latin America hold global currencies, make cross-border payments, invest in international markets, and spend worldwide with a card.
Funding history
Projects
About ARQ ( Prev DolarApp )
ARQ serves travelers, investors, and professionals across Latin America who need access to global currencies and financial markets. Users can hold digital dollars and euros, receive and send international payments via dedicated US and European account details, invest in US stocks and ETFs, and spend globally with a card at market conversion rates. The platform is available across Mexico, Argentina, Colombia, and Brazil.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You'll help build the intelligence layer behind ARQ's financial products, working on important risk and financial crime challenges. You'll develop machine learning models that detect fraud, prevent losses, and drive better decisions at scale, partnering with Product, Engineering, and Operations teams to turn large-scale datasets into models that 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 with large-scale datasets.
- Experience developing and deploying machine learning models in production.
- Strong understanding of supervised learning, particularly classification.
- Experience with anomaly detection, fraud prevention, risk modeling, or related domains.
- Ability to translate business challenges into data-driven solutions.
- Cross-functional experience with Product, Engineering, and business stakeholders.
- Strong communication skills and a pragmatic approach to problem-solving.
- Comfort operating in fast-moving environments with high ownership.
Responsibilities
- Design, build, and deploy machine learning models for financial crime and risk challenges.
- Work on fraud detection, chargeback prediction, anomaly detection, identity verification, and transaction monitoring.
- Transform ambiguous business problems into measurable ML solutions.
- Partner 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 ARQ's AI and machine learning capabilities.
Benefits
- Stock options
- Discretionary performance bonus
- The latest tools and technology