Data Engineer

2 weeks ago

Old Toronto, Canada Acunor Inc Full time

Job Summary:

As a Data Scientist in the banking domain, you will be responsible for analyzing complex data sets to provide actionable insights that drive strategic decision-making. You will collaborate with cross-functional teams to develop predictive models, enhance risk management strategies, and improve customer segmentation and targeting.

Key Responsibilities:

  • Analyze large volumes of structured and unstructured data to identify trends, patterns, and anomalies.
  • Develop and implement predictive models to enhance customer acquisition, retention, and risk assessment.
  • Collaborate with stakeholders to define business problems and translate them into analytical solutions.
  • Create data visualizations and dashboards to communicate findings effectively to non-technical audiences.
  • Conduct A/B testing and experimentation to optimize marketing strategies and product offerings.
  • Stay updated on industry trends and advancements in data science and banking technologies.
  • Work with data engineering teams to ensure data quality and integrity.

Qualifications:

  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
  • 2 to 10 years of experience in data science, preferably within the banking or financial services industry.
  • Proficiency in programming languages such as Python, R, or SQL.
  • Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn) and statistical analysis tools.
  • Strong understanding of data visualization tools (e.g., Tableau, Power BI, or similar).
  • Knowledge of banking regulations and compliance standards is a plus.
  • Excellent problem-solving skills and the ability to work in a fast-paced environment.
  • Strong communication skills, with the ability to present complex data insights to diverse audiences.
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