Hybrid Senior Data Analyst, Portfolio Analytics & Modeling

Posted 2 weeks ago

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About the role

  • Senior Data Analyst handling Credit Risk Modeling and Financial analytics for Tabby. Analyzing data to support business decision-making and stakeholder collaboration.

Responsibilities

  • Analyze customers and merchants financial data to derive actionable insights
  • Develop reports and dashboards to support various reporting lines (external & internal reporting)
  • Ensure the accuracy and consistency of data across multiple sources for reconciliation; identifying and resolving discrepancies, ensuring the integrity of data, and providing reliable insights to support decision-making processes
  • Investigate and analyze the underlying causes of data discrepancies, collaborating with relevant stakeholders to resolve issues and prevent future occurrences.
  • Engage in risk/finance analytics and ad-hoc inquiries
  • Participate in designing and enhancing various risk/finance processes
  • Develop and maintain ECL calculations models including but not limited to: PD, LGD, EAD under IFRS-9 guidelines
  • Perform initial validation of risk models to ensure compliance with IFRS 9 standards.
  • Collaborate with cross-functional teams to provide data-driven insights for product launches and operational improvements.
  • Optimize existing processes through automation and policy development.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Economics, Statistics or actuarial science.
  • 3+ year of relevant experience **at a bank or Fintech** in a data analytics team or Risk analytics team
  • Strong analytical and data capabilities, backed up by technical coding skills.
  • Proficiency in SQL, Python and Excel is a must.
  • Strong understanding of statistical analysis, forecasting techniques and machine learning algorithms
  • Basic understanding of IFRS9 credit risk modeling requirements and financial concepts
  • Experience with visualization tools: i.e. Tableau, Power BI.
  • Excellent command of English
  • Excellent written and verbal communication skills
  • Ability to effectively present complex data and findings in a clear and concise manner

Benefits

  • The opportunity to learn from and grow with the sharpest minds in the business
  • We offer flexible working hours and trust you to work enough hours to do your job well at times that suit you and your team.
  • A working environment that gives you autonomy and responsibility from day one.
  • You should be comfortable with the idea that the quality of your work will influence the shape of your career.
  • Participation in the company’s employee stock options program.
  • Health Insurance.
  • Flexi Perks: a monetary benefit to spend on what matters most to you — health, well-being, education, or professional development.

Job title

Senior Data Analyst, Portfolio Analytics & Modeling

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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