Trustly

Trustly

Trustly specializes in developing and providing online payment solutions that leverage Open Banking technology to enhance payment processes, reduce costs, and streamline financial services for consumers, merchants, and banks.

Diversified Financial Services
251-1K
Founded 2008

Description

  • Develop novel AI and machine learning models to support risk strategies.
  • Recommend data-driven, risk-based business decisions that improve KPIs across Trustly's payment portfolio.
  • Analyze and compare model performance to influence model strategy and selection decisions.
  • Collaborate with ML Engineers to deploy AI and ML models in Trustly's decision engine.
  • Explore raw source data and perform feature research and engineering to support decision capabilities.
  • Support the development and maintenance of risk modeling infrastructure with ML Engineers and MLOps.
  • Develop data-driven and business-driven risk prevention rules and strategies.
  • Monitor risk and decision trends and make ongoing optimization adjustments as needed.

Requirements

  • University degree in mathematics, statistics, data science, or a comparable field.
  • Experience in data science, machine learning, and AI.
  • Experience developing statistical, machine learning, or AI models and experiments.
  • Risk experience in financial services, fintech, or a similar industry.
  • Advanced skills in Python and SQL.
  • Spark and JavaScript are nice to have.
  • Understanding of feature engineering and the model development lifecycle.
  • Solid English communication skills for working with English-speaking business stakeholders.

Benefits

  • Bradesco health and dental plan for you and your dependents with no co-payment.
  • Life insurance with differentiated coverage.
  • Meal voucher and supermarket voucher.
  • Home office allowance.
  • Wellhub access for physical activities and online classes.
  • Trustly Club discounts at educational institutions and partner stores.
  • English Program with online group classes and a private teacher.
  • Extended maternity and paternity leave.
  • Birthday off.
  • Flexible hours and remote-first work from any city in Brazil.
  • Welcome kit with Apple equipment and other gifts.
  • Referral program reward for successful hires.

Interested in this position?

Apply directly on the company website

Apply Now

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