ARQ ( Prev DolarApp )
Senior Data Scientist
- Compensation
- Not disclosed
- Location
- London
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data science
- Posted
Skills
Must have
- 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.
Full description
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.
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.
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.
Benefits
- Stock options
- Discretionary performance bonus
- The latest tools and technology