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Data Scientist

IDFC FIRST Bank
Mumbai, IND
Full-time
Mid-Senior
Onsite
Discovered 1 months ago
Data analysisData scienceAdvanced analyticsAnalytical modelingSASPython

Full Job Posting

Role overview

This techno-functional Data Analyst/Data Scientist role sits within the Data and Analytics function at IDFC FIRST Bank.

The role combines business understanding, analytical solution development, stakeholder engagement, and leadership of Data Analysts.

Job responsibilities

  • Scope business requirements and priorities through understanding of banking portfolios.
  • Explore source-system and data-mart fields to derive meaningful insights.
  • Design and implement analytical solutions for business needs.
  • Develop models and analytical frameworks using advanced algorithms and computational methods.
  • Conduct case reviews and identify new variable ideas.
  • Create controls to ensure the accuracy of data, analyses, strategies, and recommendations.
  • Monitor model governance and model and variable tracking metrics.
  • Improve existing processes and drive efficient outcomes.
  • Build relationships with stakeholder teams and reach consensus.
  • Mentor and lead a high-performing team of Data Analysts.
  • Connect analytical solutions to business outcomes.
  • Deliver projects on time and manage and coach team members.

Qualifications

  • Postgraduate qualification with 2-5 years of experience.
  • Experience and understanding of advanced analytical tools such as SAS, Python, and PySpark.
  • Experience working in big data environments.
  • Ability to understand banking portfolios and translate business needs into analytical solutions.
  • Ability to lead and mentor Data Analysts.

Technical skills

  • Data analysis, data science, advanced analytics, and analytical modeling.
  • SAS, Python, and PySpark.
  • Big data environments and advanced computational methods.
  • Model governance and model or variable tracking metrics.
  • Stakeholder partnership, team mentoring, and leadership.

Function

The role belongs to the Data and Analytics function and supports business decision-making and organizational outcomes.

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