Epicareer Might not Working Properly
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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.
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
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Jobs or company...

Data Science (Risk) - SeaMoney Credit

Salary undisclosed
Checking job availability...
Original
Simplified
Job Description
  • Work on risk model development for retail and SME finance products such as consumer lending, personal finance, small and medium-sized enterprises loan and so on
  • Build models and tools for credit and fraud risk identification in various aspects. For example, credit risk modelling, income estimation, customer information verification, anti cash-out, non-starter detection, account take over and so on
  • Analyse and conduct feature engineering for massive data such as customer profiling, e-commerce transaction, and so on and deploy the feature pipeline
  • Using graph mining, time series data modelling, graph & item embedding techniques to extract information from raw data
  • Collaborate closely with the risk policy and business team. Translate business need and insight into machine learning models
  • Research model methodology and data mining techniques to improve model performance

Requirements
  • Bachelor's degree in Machine Learning, Business Analytics, Information Technology, Finance, Economics, Statistics, Mathematics, or a related field. Master's and PhD degree are preferred.
  • 1-5 years relevant credit or anti-fraud model development experience
  • Experienced with data mining and feature engineering from massive raw data especially the alternative credit data
  • Solid understanding and hands on experience of machine learning models such as boosting trees, regression models and good sense in feature engineering
  • Good coding skill using SQL, Spark and Python
  • Eager to learn new things and has passion in work
  • Take responsibility, team oriented, result oriented, customer oriented and self driven
  • Experience in network analysis, search and recommendation system and other machine learning field is a plus