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Data Scientist Banking

We are seeking a talented and motivated Banking Data Scientist to join our growing analytics team. In this role, you will leverage advanced statistical techniques, machine learning models, and data-driven insights to support strategic decision-making across various banking functions, including risk management, customer analytics, fraud detection, lending, and operational efficiency.

This is an excellent opportunity for a data professional who has already gained practical experience within data science and is looking to further develop their career in the banking and financial services sector.

Key Responsibilities

  • Develop, implement, and maintain predictive and prescriptive analytics models.
  • Analyze large and complex datasets to identify trends, patterns, and business opportunities.
  • Support credit risk, fraud detection, customer segmentation, and portfolio optimization initiatives.
  • Collaborate with business stakeholders to translate business challenges into analytical solutions.
  • Design and monitor machine learning models throughout their lifecycle.
  • Build dashboards and reporting solutions to communicate insights effectively.
  • Ensure data quality, governance, and compliance with banking regulations.
  • Present findings and recommendations to both technical and non-technical audiences.

Required Qualifications

  • Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Finance, or a related quantitative field.
  • Minimum of 1 year of hands-on experience as a Data Scientist, preferably within banking, financial services, fintech, or a highly regulated environment.
  • Strong knowledge of statistical analysis, predictive modeling, and machine learning techniques.
  • Proficiency in Python and/or R.
  • Experience with SQL and working with large-scale datasets.
  • Familiarity with machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, or similar.
  • Experience with data visualization tools such as Power BI, Tableau, or similar.
  • Strong analytical thinking and problem-solving skills.
  • Excellent communication and stakeholder management abilities.

Preferred Qualifications

  • Experience in banking domains such as credit risk, anti-money laundering (AML), fraud analytics, customer analytics, or regulatory reporting.
  • Knowledge of cloud platform Azure
  • Understanding of banking regulations and risk frameworks.
  • Experience with MLOps, model monitoring, and deployment practices.

What We Offer