Epicareer Might not Working Properly
Learn More
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.
Visit Site here
  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).
Visit Site here
Any Question? Contact us
logo
Jobs or company...

AVP/VP, Credit Risk Data Scientist, Credit Risk Modelling

Salary undisclosed
Checking job availability...
Original
Simplified
Why JoinAs a Credit Risk Data Scientist, you will be part of a team that drives the development of advanced analytics and machine learning models to assess and manage credit risk. You will have the opportunity to work with large datasets, develop predictive models, and influence business decisions. Join us and contribute to the bank's risk management capabilities, while building a rewarding career in a dynamic and supportive team.How you succeedTo succeed in this role, you will need to develop and implement advanced analytics and machine learning models to assess credit risk. This involves collating and analyzing large datasets, identifying patterns and trends, and developing predictive models that can inform business decisions. You will also need to work closely with stakeholders to understand their needs and develop solutions that meet their requirements.What you do
  • Develop, implement, and maintain machine learning credit risk models supporting the Consumer, Small Business and Wholesale segments of the Group.
  • Monitor, back-test and report performance of the models to ensure adherence to performance standards and early detection of weaknesses.
  • Develop and maintain user requirements, parameters and configurations of systems housing the models.
  • Develop in-depth expertise in credit risk modelling methodologies.
  • Work closely with independent model validators to ensure compliance to model governance framework and timely closure of validation findings.
  • Engage with auditors and regulators to ensure compliance with relevant requirements.
  • Engage with various stakeholders to develop analytical solutions using model outputs in credit decisioning, business strategies, allowance, and capital assessment.
Who you work withGroup Risk Management works independently to protect, build, and drive our businesses. The team supports good decision-making with strong risk analysis and a crucial, comprehensive role in sharpening our competitive edge. Optimising risk-adjusted returns, it's about seeking and adopting best-in-class practices, protecting the group from unforeseen losses, keeping risk within appetite, and embracing change and managing growth in one of the world's strongest banks.QualificationsWho you are
  • Degree in a Quantitative discipline, such as Data Science, Statistics, Mathematics or Computer Science.
  • At least 5-7 years of relevant experience in a related area.
  • Working experience in credit analysis/modelling or credit risk management of Consumer, Small Business and/or Wholesale portfolios.
  • Proficiency in common machine learning tools and frameworks (Scikit-Learn / Tensorflow / PyTorch).
  • Experience with big data technologies such as Hadoop, Hive and Spark.
  • Knowledge in ML-Ops tools and Git.
  • Analytical and independent thinker with strong written and verbal communication skills.
  • Ability to interact and communicate effectively with senior management.
  • Willing to take on new challenges and work in a fast-paced environment.
Who we areSingapore's longest established bank, we've been helping people and businesses get what they want from life since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires. Today, we're on a journey of transformation, embracing technology and creativity to become a future-ready learning organisation. But for all that change, our purpose remains: to enable people and communities to realise their aspirations.And so whether you want to innovate needs-based financial services, work in friendly, supportive teams, build lasting value in your community, help people grow their assets, business, and investments, take your learning as far as you can, or simply enjoy a vibrant, future-ready career, Your Opportunity Starts Here.What we offerCompetitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Equal opportunity. Fair employment. Selection based on ability and fit with our culture and values. Your wellbeing, growth, and aspirations are every bit as cared for as the needs of our customers.
Why JoinAs a Credit Risk Data Scientist, you will be part of a team that drives the development of advanced analytics and machine learning models to assess and manage credit risk. You will have the opportunity to work with large datasets, develop predictive models, and influence business decisions. Join us and contribute to the bank's risk management capabilities, while building a rewarding career in a dynamic and supportive team.How you succeedTo succeed in this role, you will need to develop and implement advanced analytics and machine learning models to assess credit risk. This involves collating and analyzing large datasets, identifying patterns and trends, and developing predictive models that can inform business decisions. You will also need to work closely with stakeholders to understand their needs and develop solutions that meet their requirements.What you do
  • Develop, implement, and maintain machine learning credit risk models supporting the Consumer, Small Business and Wholesale segments of the Group.
  • Monitor, back-test and report performance of the models to ensure adherence to performance standards and early detection of weaknesses.
  • Develop and maintain user requirements, parameters and configurations of systems housing the models.
  • Develop in-depth expertise in credit risk modelling methodologies.
  • Work closely with independent model validators to ensure compliance to model governance framework and timely closure of validation findings.
  • Engage with auditors and regulators to ensure compliance with relevant requirements.
  • Engage with various stakeholders to develop analytical solutions using model outputs in credit decisioning, business strategies, allowance, and capital assessment.
Who you work withGroup Risk Management works independently to protect, build, and drive our businesses. The team supports good decision-making with strong risk analysis and a crucial, comprehensive role in sharpening our competitive edge. Optimising risk-adjusted returns, it's about seeking and adopting best-in-class practices, protecting the group from unforeseen losses, keeping risk within appetite, and embracing change and managing growth in one of the world's strongest banks.QualificationsWho you are
  • Degree in a Quantitative discipline, such as Data Science, Statistics, Mathematics or Computer Science.
  • At least 5-7 years of relevant experience in a related area.
  • Working experience in credit analysis/modelling or credit risk management of Consumer, Small Business and/or Wholesale portfolios.
  • Proficiency in common machine learning tools and frameworks (Scikit-Learn / Tensorflow / PyTorch).
  • Experience with big data technologies such as Hadoop, Hive and Spark.
  • Knowledge in ML-Ops tools and Git.
  • Analytical and independent thinker with strong written and verbal communication skills.
  • Ability to interact and communicate effectively with senior management.
  • Willing to take on new challenges and work in a fast-paced environment.
Who we areSingapore's longest established bank, we've been helping people and businesses get what they want from life since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires. Today, we're on a journey of transformation, embracing technology and creativity to become a future-ready learning organisation. But for all that change, our purpose remains: to enable people and communities to realise their aspirations.And so whether you want to innovate needs-based financial services, work in friendly, supportive teams, build lasting value in your community, help people grow their assets, business, and investments, take your learning as far as you can, or simply enjoy a vibrant, future-ready career, Your Opportunity Starts Here.What we offerCompetitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Equal opportunity. Fair employment. Selection based on ability and fit with our culture and values. Your wellbeing, growth, and aspirations are every bit as cared for as the needs of our customers.