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Please Turn on your JavaScript

Epicareer might not working properly because your browser javascript is turned off.

What is JavaScript?

JavaScript is like the magic behind making websites interactive. Basically, it makes Epicareer more enjoyable and engaging.
How do i turn this on?
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.
Visit Site here
  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.
Visit Site here
  1. If you're running Windows OS, in the Firefox window, click Tools > Options.
  2. Tip: If you're running Mac OS, click the Firefox drop-down list > Preferences.
  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.
  3. From the Settings menu, click Cookies and site permissions.
  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.
Visit Site here
  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...

Regional Risk & Compliance Modeling Intern - Digital Banking (May to Aug 2025)

Salary undisclosed
Checking job availability...
Original
Simplified
Job Description
  • Assist in developing, implementing and enhancing model risk management policies and guidelines covering key control elements of the bank's model life cycle.
  • Assist modeling specialists with development of machine learning and advanced analytical solutions to support various bank-wide risk functions credit risk, fraud risk, and anti-money laundering.
  • Perform robust, comprehensive and independent model validation on enterprise-wide models, including front office pricing models and risk management models across Market Risk, Credit Risk, Liquidity Risk, Fraud Risk and AML Compliance.
  • Assist to build a python-based market and liquidity system catering to generate various metrics such as liquidity gap, NII, EVE.
  • Assist in end-to-end implementation and CI/CD of offline and real-time models into big data production environments.
  • Collaborate with business and engineering teams to translate business needs and insight into quantitative decisions.
  • Update, review and maintain the model risk management framework, model and non-model inventory, ongoing performance monitoring, model on-boarding process and model governance.
  • Study Basel/MAS regulation/guidelines and extract key risk parameters.

Requirements
  • Undergraduates or graduate students from a degree in statistics, mathematics, computer science and related fields
  • Understand popular machine learning models such as tree models, regression models, classification models, survival analysis et al.
  • Good coding skill using SQL, Python and Spark
  • Knowledgeable in financial instruments such as loan, bond, repo etc
  • Proactive, can-do attitude, quick learner, structured thinking, passionate with data and models
  • Full-time interns preferred
Job Description
  • Assist in developing, implementing and enhancing model risk management policies and guidelines covering key control elements of the bank's model life cycle.
  • Assist modeling specialists with development of machine learning and advanced analytical solutions to support various bank-wide risk functions credit risk, fraud risk, and anti-money laundering.
  • Perform robust, comprehensive and independent model validation on enterprise-wide models, including front office pricing models and risk management models across Market Risk, Credit Risk, Liquidity Risk, Fraud Risk and AML Compliance.
  • Assist to build a python-based market and liquidity system catering to generate various metrics such as liquidity gap, NII, EVE.
  • Assist in end-to-end implementation and CI/CD of offline and real-time models into big data production environments.
  • Collaborate with business and engineering teams to translate business needs and insight into quantitative decisions.
  • Update, review and maintain the model risk management framework, model and non-model inventory, ongoing performance monitoring, model on-boarding process and model governance.
  • Study Basel/MAS regulation/guidelines and extract key risk parameters.

Requirements
  • Undergraduates or graduate students from a degree in statistics, mathematics, computer science and related fields
  • Understand popular machine learning models such as tree models, regression models, classification models, survival analysis et al.
  • Good coding skill using SQL, Python and Spark
  • Knowledgeable in financial instruments such as loan, bond, repo etc
  • Proactive, can-do attitude, quick learner, structured thinking, passionate with data and models
  • Full-time interns preferred