Data Scientist – Anti-Money Laundering Analytics, Modeling

Jobtailor; North Carolina; On-site; USD 90,000 - 130,000; Full time

Job summary

Jobtailor is seeking a data science professional to advance our analytics initiatives. You will engineer data-driven solutions, build ML models, and collaborate with cross-functional teams to inform strategic decisions across the business.

The role emphasizes rigorous experimentation, scalable ML systems, and clear communication of complex results to non-technical stakeholders and business partners, helping drive decisions and improve outcomes.

Qualifications

• Master's degree or higher in a quantitative field.
• Experience with data mining and data preparation for ML models.
• Proficiency in statistical methods and tools, including experimental design, probability theory, and sampling.
• Expertise in building, scaling, and optimizing machine learning systems with industry recognized ML frameworks and algorithms.
• Strong programming skills in Python, PySpark, R, and/or SQL.
• Experience working with model risk governing bodies in model validation, and with model implementation partners in productionizing a model.
• Critical thinking and problem-solving aptitude with the ability to apply analytical rigor to complex business problems.
• Ability to present complex technical concepts clearly and effectively to non-technical stakeholders and business partners.
• Ability to manage multiple projects simultaneously and collaborate across departments.

Responsibilities

• Use a variety of analytical techniques to extract usable information from various data sources, including customer, account, and transactional data sets
• Participate in data set creation, analysis, reporting, model building, model monitoring and model documentation
• Effectively communicate analytical results, represent the modeling team in various forums to inform senior executives and various team partners of progress on key modeling efforts
• Collaborate with 1st, 2nd and 3rd line of defenses and other key stakeholders

Skills

Python

PySpark

R

SQL

Education

Master's degree in a quantitative field

Tools

ML frameworks

Job description

Responsibilities

• Use a variety of analytical techniques to extract usable information from various data sources, including customer, account, and transactional data sets
• Participate in data set creation, analysis, reporting, model building, model monitoring and model documentation
• Effectively communicate analytical results, represent the modeling team in various forums to inform senior executives and various team partners of progress on key modeling efforts
• Collaborate with 1st, 2nd and 3rd line of defenses and other key stakeholders

Requirements

• Master's degree or higher in a quantitative field
• Experience with data mining and data preparation for ML models
• Proficiency in statistical methods and tools, including experimental design, probability theory, and sampling
• Expertise in building, scaling, and optimizing machine learning systems with industry recognized ML frameworks and algorithms
• Strong programming skills in Python, PySpark, R, and/or SQL
• Experience working with model risk governing bodies in model validation, and with model implementation partners in productionizing a model
• Critical thinking and problem-solving aptitude with the ability to apply analytical rigor to complex business problems
• Ability to present complex technical concepts clearly and effectively to non-technical stakeholders and business partners
• Ability to manage multiple projects simultaneously
• Strong teamwork skills and ability to work across different departments