AVP, Anti-Financial Crime (AFC) Model Validator

Full Time

Madison-Davis Client



In an ever-more complex world, financial crime risks is the biggest the risk to global economy, it has
catastrophic impact on businesses, communities, and individuals. The techniques used by criminals are getting sophisticated, and so is the need for innovation, and sophistication of the tools and models used to identify and prevent such crime. We are looking for a candidate to solve “hard to solve” problems associated with financial crimes and fraud detection. You will be tasked to validate the models used to detect fraudulent, suspicious behavior, or transactions. This will involve good understanding of regular expression, concept search, phonetics, behavioral economics, formal language, network theory, set theory, combinatorics, and optimization.

Job Duties:

  • You will be responsible for validating anti-financial crime (AFC) models provide effective challenge to weed out model risk issues.
  • Write model validation reports and develop model validation automation libraries in R or Python
  • Develop independent challenger and benchmark models
  • Define the validation scope, and maintain model validation key operating procedures
  • Run workshops with the 1st line of defense and help run quality assurance model validation reports
  • Assist with model risk team including model risk policy, inventory, project management, and help
    guide junior team members on model validations

Job Requirements:

  • Master’s degree in computational science, engineering, hard sciences, computational linguistics, applied mathematics, physics, behavioral sciences, PhD would be a plus
  • Experience in development and/or validating probabilistic models, Bayesian models, decision trees,
    random forest, ensemble models, neural networks, PCA/PCR, logistic/linear regression, linear / nonlinear optimization, support vector machines
  • Previous experience in Fraud Detection, Hate Speech, SPAM filter model, cryptography, phonetics,
    concept search, fuzzy logic, approximate string matching
  • Programing skills such as R, Python, TensorFlow, SQL, PyTorch, Theano
  • Advanced skills in regular expression (grep, grepl), formal language theory, automata theory, network theory, phonetics

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