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What is JavaScript?

JavaScript is like the magic behind making websites interactive. Basically, it makes Epicareer more enjoyable and engaging.
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Find tutorial for your browser below :
  1. Make sure the webpage is open.
  2. In the Safari app on your Mac, choose Safari > Preferences, then click Security.
  3. Make sure the Enable JavaScript checkbox is selected.
  4. Click Websites.
  5. On the left, click Content Blockers.
  6. Make sure Off is chosen in the pop-up menu next to the website.
  7. On the left, click Pop-up Windows.
  8. Make sure Allow is chosen in the pop-up menu next to the website.
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  1. Open Chrome on your computer.
  2. Click. then Settings.
  3. Click Privacy and Security.
  4. Click Site settings.
  5. Click JavaScript.
  6. Select Sites can use Javascript.
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  1. If you're running Windows OS, in the Firefox window, click Tools > Options.
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  3. On the Content tab, click the Enable JavaScript check box.
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  1. Click the "Settings and more" icon at the top right of the Edge browser window.
  2. Click Settings.
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  4. Scroll down and click on JavaScript.
  5. In the JavaScript window, toggle the slider to "on" or "allowed."
  6. Close the Settings tab.
  7. Refresh the page.
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  1. Go to Settings.
  2. Click Advanced in the left sidebar, and click Privacy & security.
  3. Under Privacy and security, click Site settings.
  4. Click JavaScript.
  5. At the top, turn on or off Allowed (recommended).
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Jobs or company...

Senior Portfolio Data Analyst (Credit Card)

Salary undisclosed
Checking job availability...
Original
Simplified

What you will do:

  • Lead the development and enhancement of a comprehensive risk management framework specifically tailored for credit card portfolios.
  • Conduct in-depth analysis of credit card portfolio performance metrics, identifying trends, risk factors, and opportunities for optimization.
  • Utilize advanced statistical techniques to understand credit card customer behavior, credit risk, and portfolio dynamics.
  • Develop and refine key risk indicators (KRIs) and performance metrics for ongoing monitoring of credit card portfolios.
  • Provide strategic insights and recommendations to senior management based on analytical findings, contributing to decision-making processes related to credit risk management.
  • Collaborate cross-functionally with risk management, compliance, finance, and product teams to ensure alignment on risk strategy and compliance with regulatory requirements.

What we are looking for:

  • Bachelor's degree in Statistics, Mathematics, Economics, Finance, or a related quantitative field. Advanced degree (e.g., Master's) preferred.
  • 5-8 years of progressive experience in risk analytics within consumer credit, with a strong focus on credit card portfolios.
  • Expertise in programming languages such as Python, R, or SQL for data manipulation and statistical analysis.
  • Proven ability to interpret complex data sets and derive actionable insights relevant to credit card risk management.
  • Excellent communication skills with the ability to present complex concepts and recommendations to stakeholders at various levels of the organization.
  • Understanding of credit risk modeling techniques, including scorecard development, stress testing, and portfolio optimization is a plus

What you will do:

  • Lead the development and enhancement of a comprehensive risk management framework specifically tailored for credit card portfolios.
  • Conduct in-depth analysis of credit card portfolio performance metrics, identifying trends, risk factors, and opportunities for optimization.
  • Utilize advanced statistical techniques to understand credit card customer behavior, credit risk, and portfolio dynamics.
  • Develop and refine key risk indicators (KRIs) and performance metrics for ongoing monitoring of credit card portfolios.
  • Provide strategic insights and recommendations to senior management based on analytical findings, contributing to decision-making processes related to credit risk management.
  • Collaborate cross-functionally with risk management, compliance, finance, and product teams to ensure alignment on risk strategy and compliance with regulatory requirements.

What we are looking for:

  • Bachelor's degree in Statistics, Mathematics, Economics, Finance, or a related quantitative field. Advanced degree (e.g., Master's) preferred.
  • 5-8 years of progressive experience in risk analytics within consumer credit, with a strong focus on credit card portfolios.
  • Expertise in programming languages such as Python, R, or SQL for data manipulation and statistical analysis.
  • Proven ability to interpret complex data sets and derive actionable insights relevant to credit card risk management.
  • Excellent communication skills with the ability to present complex concepts and recommendations to stakeholders at various levels of the organization.
  • Understanding of credit risk modeling techniques, including scorecard development, stress testing, and portfolio optimization is a plus