Senior Quantitative Risk Analyst
Model Risk Management
Confirmed live in the last 24 hours
Remote in USA • New York, NY, USA
Experience Level
Desired Skills
Data Analysis
Data Science
  • Bachelors degree in the physics, economics, statistics, or a similar STEM field with 5+ years of related work experience; Graduate degree w/ 3+ years of relevant working experience; or 9+ years of relevant working experience
  • Knowledge of data science modeling techniques, methodologies (e.g. familiarity with deep learning, boosted trees, and unsupervised learning)
  • Experience with scripting and data analysis programming languages, such as Python (preferable) or R
  • Advanced proficiency with SQL and data visualization tools (e.g. Tableau)
  • Strong quantitative skills with the ability to interpret complex data sets
  • Excellent communication skills with the ability to present technical information clearly and concisely
  • High ethical standards with a commitment to integrity and professionalism
  • Experience in validating machine learning models related to compliance regulations such as AML, KYC, sanctions screening, or fraud detection
  • Prior experience in compliance risk management
  • Knowledge of regulatory frameworks such as SR 11-7
  • Validate machine learning models using data analysis, testing procedures and quality assurance methods
  • Evaluate and improve model validation activities, processes, and metrics
  • Assess and advise on model governance frameworks, and development practices
  • Identify and communicate model risks, issues, and gaps to management
  • Provide analytical support and insights to improve model development, validation, and documentation standards
  • Stay updated on emerging trends, developments and best practices in machine learning and compliance risk management
  • Maintain validation documentation in accordance with internal policies and standards
  • Develop continuous monitoring dashboards for ongoing model performance monitoring (e.g. model drift)
  • Coordinate with cross-functional teams, particularly Data Science, Product, Engineering & Technology
  • Develop effective stakeholder relationships and have a strong understanding of the businesses

1,001-5,000 employees

Digital payment processor
Company Overview
Square's mission is to ensure that all businesses are able to participate and thrive in the economy. The company is building infrastrucutre for online payments.