Senior AI Scientist: Risk & LLMs Innovation Leader

Quona Capital

Ecatepec de Morelos

On-site

MXN 800,000 - 1,200,000

Full time

14 days+

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Job summary

Quona Capital is seeking a Senior Data Scientist to design, implement, and operate ML/AI models that optimize risk underwriting and customer management. You will drive experiments, monitor model performance, and ensure governance, while mentoring junior data scientists.

Responsibilities include developing predictive models, evaluating LLMs, and collaborating with Credit, Product, and Tech teams to translate data insights into strategic actions.

Qualifications

  • BS in a quantitative STEM field with 5+ years of analytics experience (or MS with 2+ years).
  • Proficiency in Python data stack (Pandas, scikit-learn) and SQL.
  • Hands-on experience with large datasets and version control (Git).
  • Deep understanding of ML/AI models, LLMs, and agentic systems via APIs or open-source tools.

Responsibilities

  • Model Development: Build predictive models for customer origination and management using diverse data sources.
  • Experimentation: Run A/B tests and causal inference to evaluate models and LLMs.
  • MLOps & Monitoring: Write scalable Python for drift tracking and retraining, support CI/CD pipelines.
  • Governance: Ensure documentation, validation, explainability, bias analysis, and regulatory compliance.
  • Communication & Mentoring: Convey findings to executives and cross-functional teams; mentor junior data scientists.

Skills

Python
Pandas
scikit-learn
SQL
Git
Big Data
English

Education

BS in quantitative STEM
MS in STEM

Tools

APIs
Open-source tools
LLMs

Job description

Quona Capital is seeking a Senior Data Scientist to design, implement, and operate ML/AI models that optimize risk underwriting and customer management. You will drive experiments, monitor model performance, and ensure governance, while mentoring junior data scientists.

Responsibilities include developing predictive models, evaluating LLMs, and collaborating with Credit, Product, and Tech teams to translate data insights into strategic actions.

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