Partner with a cross-functional team to deliver industry-leading risk management products
Build production-ready pipelines for data sourcing, model development, and scoring
Build machine learning models and AI tools from design to implementation
Translate complex technical concepts into business goals

Requirements

Bachelor's degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
2 years of experience performing data analytics
Open-source languages (Python, SQL)
Experience with AWS and machine learning models
At least 1 year of experience in AML modeling or related domain (e.g. Fraud, Credit Risk)

Benefits

Health insurance
401(k) matching
Performance-based incentive compensation (cash bonus and/or long-term incentives)
Comprehensive and inclusive set of benefits that support total well-being

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analyticsmachine learningAI toolsPythonSQLAWSAML modelingFraud analysisCredit Risk analysismodel development

Soft Skills

cross-functional collaborationcommunicationproblem-solvingtranslating technical conceptsorganizational skills

Certifications

Bachelor's degree