Senior Data Scientist - Fraud Analytics (Remote)

Circle Internet Management Services LLC; California; A distancia; USD 153.000 - 205.000; Jornada completa

Descripción de la vacante

Circle Internet Management Services LLC is seeking a Senior Data Scientist to own the prediction side of fraud analytics. You will turn labels into features and models, measure accuracy, and shift from vendor scores to in-house models, collaborating with Fraud Strategy and Risk Engineering.

You will build and evaluate fraud models for onboarding, login, and money movement, targeting account takeover and synthetic identity risks.

Formación

• 5+ years in data science or applied ML on fraud, risk, or financial crime.
• Advanced Python and SQL, and experience with XGBoost, LightGBM, or similar.
• Experience building models with sparse, delayed, or biased labels, including cold start, reject inference, and chargeback lag.
• Strong statistics: anomaly detection, graph or network methods, experimentation, and threshold optimization.
• Experience taking models to production and monitoring them.
• Clear communication with technical and non-technical partners.
• Comfort working through ambiguity and limited historical data.

Responsabilidades

• Build and evaluate fraud models for onboarding, login, account changes, and money movement.
• Target risks include account takeover, scams, money mules, and stolen and synthetic identity.
• Evaluate third-party risk signals and design the path from vendor models to Circle models, from shadow mode to production.
• Define the label taxonomy and data requirements with Fraud Operations and Risk Engineering, so every event, decision, and outcome becomes training data.
• Design holdout and exploration sampling to measure false negatives and the rate at which we wrongly block good customers.
• Track fraud rate, dispute rate, fraud loss rate, and precision across customer segments.
• Help set thresholds against an agreed loss budget.
• Work with Fraud Strategy to tune thresholds and rules and respond to emerging attacks.
• Backtest, monitor drift, and retrain models on Circle’s fraud platform.
• Help build AI agent workflows for transaction review, fraud-ring analysis, and rule drafting, and evaluate their accuracy against human labels.

Conocimientos

Advanced Python

SQL

XGBoost

LightGBM

Fraud analytics

Descripción del empleo

Circle Internet Management Services LLC is seeking a Senior Data Scientist to own the prediction side of fraud analytics. You will turn labels into features and models, measure accuracy, and shift from vendor scores to in-house models, collaborating with Fraud Strategy and Risk Engineering.

You will build and evaluate fraud models for onboarding, login, and money movement, targeting account takeover and synthetic identity risks.