Data Science Risk Analyst Position in Puerto Rico

hace 2 días


San Juan, San Juan, Puerto Rico Buscojobs Puerto Rico A tiempo completo

Buscojobs Puerto Rico seeks a skilled Data Science Risk Analyst to join our team in Puerto Rico. This role is responsible for conducting validation of quantitative risk models and core system applications, ensuring compliance with Model Risk and Governance policy requirements.

Key Responsibilities:

  • Validating, testing, documenting, implementing, and/or overseeing the usage of advanced quantitative/statistical and AML models.
  • Performing independent challenges of machine learning models used for fraud detection and risk management.
  • Delivering validation documentation, including presentations, written reports, model or reporting code documentation, business requirements, monitoring reports, and related code.
  • Providing effective challenge on the conceptual and technical soundness of models' design, theory, and framework through various testing following guidelines based on SR 11:7.
  • Interacting with stakeholders, such as model developers, sponsors, users, and production, for model risk management related activities.
  • Performing complex mathematical analysis utilizing various statistical methods or techniques.
  • Working optimally as a team member with other quantitative analysts at Buscojobs Puerto Rico, as well as with external consultants.
  • Evaluating model performance monitoring process and conducting annual reviews.
  • Staying up-to-date with regulatory and legal requirements.
  • Communicating clearly the results of analysis and potential outcomes of model validations to key decision-makers.

Requirements:

  • Bachelor's/Master's Degree in Computer Science, Mathematics, Applied Statistics, Data Science, Physics, or a quantitative field.
  • At least 2 years of experience in model implementation/validation/development, with experience in machine learning being desirable.
  • Master's degree in the aforementioned fields is a plus.
  • Knowledge in BSA/AML/OFAC/Fraud systems or regulations is a plus.

Preferred Qualifications:

  • Strong statistical modeling and machine learning background based on technical training or advanced education in a quantitative field.
  • Understanding of and experience with machine learning methods, including classification theory, tree-based modeling methods, neural networks, logistic regression, and others.
  • Excellent problem-solving and decision-making skills.
  • Able to work with multiple tasks simultaneously, establish priorities, and meet deadlines.
  • Able to work under pressure and with minimum supervision.
  • Strong interpersonal and collaboration skills.
  • Negotiation skills.
  • Excellent written and verbal communication skills in English and Spanish.
  • Computer and technological skills, including proficiency in the Microsoft suite of products (i.e., PowerPoint, Excel, Power BI, Word, Azure).
  • Strong experience using Python, R, or other programming languages to manipulate data, visualize, and draw insights from large data sets.
  • Knowledge of Machine Learning/statistical frameworks, such as Jupyter, AWS, Azure ML, Knime, SAS, Strata.

Estimated Salary: $60,000 - $80,000 per year, depending on experience and qualifications.



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