MoneyGram · 6 hours ago
Manager, Data Science - US Remote
United States
Full-time
Remote
Senior Level
$150K/yr - $200K/yr
7+ years expMoneyGram is a global financial technology leader, empowering consumers and businesses to send and manage money across over 200 countries and territories. The Manager, Data Science role is responsible for designing, developing, and deploying production fraud detection models while leading a small team of data scientists and aligning strategies with business objectives.
Financial Services
No H1B
Responsibilities
Design, develop, and deploy production fraud detection models that score transactions in real-time
Co-own the end-to-end data science roadmap for transaction fraud and risk
Build and maintain feature pipelines using transaction data, device signals, behavioral patterns, and identity attributes
Lead the transition from rules-based fraud detection to model-first decisioning architecture
Design the interaction between models and rules; determining when models make primary decisions versus rules
Implement champion/challenger frameworks to continuously test and improve both model and rule performance
Create monitoring systems for model drift, feature distribution shifts, rule effectiveness, and overall system performance
Generate reason codes and explainability outputs for every model decision
Mentor and lead a small team of data scientists while remaining hands-on with development
Partner with Risk Intelligence team to align model and rule strategies with business objectives
Present performance analysis, trade-off recommendations, and strategic roadmaps to leadership
Qualification
Required
7+ years of progressive experience in machine learning, data science, or quantitative risk
4+ years building production ML models in fraud, risk, payments, or financial services
3+ years working with rule-based fraud detection systems, including rule design, tuning, and performance optimization
2+ years leading or mentoring data scientists or analysts in a technical capacity
Demonstrated track record deploying and maintaining models in real-time production systems
Expert-level proficiency with gradient boosting frameworks (XGBoost, LightGBM, CatBoost)
Strong experience with rule engines and decision management systems
Advanced feature engineering for transactional and behavioral data
Production ML deployment including model serialization, API integration, and latency optimization
Advanced SQL for large-scale data manipulation (BigQuery, Snowflake, or similar)
Python fluency: pandas, NumPy, scikit-learn, and model deployment frameworks
Experience with model monitoring, drift detection, and automated retraining pipelines
Understanding of model explainability techniques (SHAP values, feature importance, gain importance)
Strong understanding of fraud patterns: account takeover, identity fraud, transaction fraud, or similar
Experience designing hybrid systems where models and rules work together effectively
Strong grasp of rule lifecycle management: creation, testing, deployment, monitoring, and retirement
Familiarity with identity and risk signals (device fingerprinting, phone/email intelligence, velocity patterns)
Experience balancing approval rates against fraud losses—you understand the business trade-offs
Preferred
Experience with decisioning platforms (Oscilar, Datavisor, Actimize, or similar)
Background in money transfer, remittance, or cross-border payments
Experience leading organizations through transitions from rules-heavy to model-first fraud detection
Benefits
Remote first flexibility
Generous PTO
13 Paid Holidays
Medical / Dental / Vision Insurance
Life, Disability, and other benefits
401k with competitive Employer Match
Community Service Days
Generous Parental Leave
Company
MoneyGram
MoneyGram connects the world by making the movement of money across borders seamless, affordable and secure for everyone.
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
Alex Holmes
CEO
Joe Vaughan
Chief Technology Officer
Recent News
Business Standard India
2025-07-02
2025-06-17
2025-06-17
Company data provided by crunchbase