Data Science Lead for Financial Innovation

hace 1 semana

Ciudad de México, Ciudad de México Konfío A tiempo completo

About Us

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Konfío is a pioneering financial technology company in Mexico, dedicated to empowering small and medium-sized enterprises with innovative solutions.

We believe that data-driven insights are key to unlocking business potential, which is why we're seeking an exceptional Data Science Lead to join our team.

The Role

As a Data Science Lead, you will be responsible for developing and implementing cutting-edge machine learning models and algorithms to drive business growth and improve customer experiences.

You will lead the development of robust monitoring systems to track model performance and quality over time, ensuring accuracy and reliability.

Additionally, you will apply advanced analytical methodologies to address complex business challenges, design and present evidence-based insights, and communicate findings effectively to non-technical stakeholders.

Key Responsibilities

  • Develop and implement new machine learning models and algorithms for underwriting and customer management.
  • Maintain existing models and conduct experiments to improve them, test, validate, and benchmarking to ensure their accuracy and reliability.
  • Implement monitoring systems to track model performance and quality over time, regularly review and retrain models based on evolving data patterns and business requirements.
  • Apply advanced analytical methodologies and perform comprehensive analysis to address complex business challenges, design and present evidence-based insights through charts and graphs, and communicate findings effectively to non-technical stakeholders.
  • Collaborate with data engineers and ML engineer to develop automated orchestration of model pipelines.

Requirements

  • Degree in a quantitative discipline (e.g., Actuary, Mathematics, Physics, Statistics, Computer Science, or related field).
  • At least 3 years proven experience in Data Science and production programming experience in Python (Class oriented) and Pandas library.
  • Knowledge and experience with Machine Learning models, both supervised and unsupervised learning (e.g., classification, clustering, time series forecasting).
  • Statistics fundamentals: most common distributions, generalized linear models, hierarchical models (desirable), A/B testing, bootstrap, experiment design, simulation.
  • Strong SQL knowledge.
  • Independent worker, your experience and capabilities should allow you to require little instruction and guidance.
  • Ability to communicate and translate technical solutions and methodologies to executive leadership.

Bonus Requirements

  • Experience in the financial sector.
  • Experience working with Risk and Collections models.
  • Master's degree in a quantitative discipline (e.g., Statistics, Computer Science, Math, Engineering).
  • Effective problem-solving and process improvement skills.
  • Ability to manage ambiguity, prioritizing needs, and delivering results in a dynamic environment.

What We Offer

Competitive salary range: $120,000 - $180,000 per year, depending on experience.

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