Senior Data Scientist, FinCrime & Risk Analytics

ARQ; New York (NY); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Stock options

Discretionary performance bonus

Competitive salary and benefits

The latest tools and technology

Job summary

ARQ is building an ambitious financial platform with a focus on AI-driven risk and fraud protection. We seek a Senior Data Scientist to own the intelligence layer behind ARQ's financial products across the Americas.

You will develop ML models for fraud detection, risk scoring, and production-grade decisioning, partnering with product, engineering, and operations to scale impact for millions of customers.

Qualifications

• 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.

Skills

Python

Machine Learning

Data Science

Production ML

Job description

ARQ is building an ambitious financial platform with a focus on AI-driven risk and fraud protection. We seek a Senior Data Scientist to own the intelligence layer behind ARQ's financial products across the Americas.

You will develop ML models for fraud detection, risk scoring, and production-grade decisioning, partnering with product, engineering, and operations to scale impact for millions of customers.