A financial services firm is looking for a professional to join their Credit Account Management in Boston to develop and deliver analytics and modeling capabilities. The ideal candidate will lead the design and development of customer account risk models and manage model lifecycle, ensuring compliance and performance. Candidates should possess a Master’s degree in a related field and extensive experience in model development, data science tools, and machine learning. A competitive salary package and performance bonuses are offered.
Qualifications
8+ years of experience in marketing/credit/fraud model development or model validation within financial services.
Master’s degree in Statistics, Mathematics, Data Science, or a related quantitative field; or 9+ years of equivalent experience.
4+ years of hands‑on experience with data science/statistical tools such as Python, Spark, AWS SageMaker, H2O, and SAS.
4+ years of machine learning/advanced analytics experience.
4+ years experience applying U.S. model risk management guidance.
Responsibilities
Lead ACM model projects with business leadership, vendors, and stakeholders.
Identify opportunities to design or enhance models through data and operational strategies.
Leverage ML/AI techniques to enhance data mining and identify new customer profiles.
Engage with the Enterprise Operations Strategic Modeling team.
Maintain comprehensive model documentation to meet regulatory requirements.
Skills
Marketing/credit/fraud model development
Data science/statistical tools (Python, Spark, AWS SageMaker, H2O, SAS)
Machine learning/advanced analytics
U.S. model risk management guidance
Communication and presentation skills
Education
Master’s degree in Statistics, Mathematics, Data Science, or related field
Tools
Python
Spark
AWS SageMaker
H2O
SAS
Job description
A financial services firm is looking for a professional to join their Credit Account Management in Boston to develop and deliver analytics and modeling capabilities. The ideal candidate will lead the design and development of customer account risk models and manage model lifecycle, ensuring compliance and performance. Candidates should possess a Master’s degree in a related field and extensive experience in model development, data science tools, and machine learning. A competitive salary package and performance bonuses are offered.