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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.
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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.
  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...

Senior Data Scientist

Salary undisclosed

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About Us:

Oracle is strongly committed to the global financial services industry. In order assist financial institutions, Oracle has brought together the industry's best application and technology ecosystem for evolutionary transformation, providing customers with the largest footprint of functional assets.

Oracle's transformation strategy for financial services industry is driven through the Oracle Financial Services Global Business Unit (FSGBU).

Job Description:

We are seeking experienced Data Scientists with a proven background in banking and finance to join our complementary team. The ideal candidates will have extensive experience in compliance, specifically in Financial Crime Compliance Management (FCCM) and Anti-Money Laundering (AML), coupled with a profound understanding of machine learning techniques, algorithms, and graph analytics.

Responsibilities:

  • Develop and implement advanced machine learning models to address key challenges in AML and compliance within the banking and finance sector.
  • Expertly handle graph analytics for uncovering sophisticated financial crime patterns.
  • Apply statistical analysis to solve various business problems, including predictive modeling and hypothesis testing.
  • Use a wide range of data science toolkits and visualization tools to interpret and present data insights effectively.
  • Proficiency in SQL, Hive, Pig, and experience with NoSQL databases like MongoDB, Cassandra, HBase for data querying and manipulation.
  • Conceptualize requirements, select features, build, and optimize models using innovative machine learning techniques.
  • Engage in data mining and improve data collection procedures to support analytics systems.
  • Process, cleanse, and verify data integrity for analysis.
  • Develop automated anomaly detection systems and supervise model performance.
  • Collaborate with business collaborators to understand their needs and translate them into technical solutions, demonstrating Oracle solutions and industry standard methodologies.
  • Lead and mentor project teams, providing direction and ensuring the alignment of technology solutions with business objectives.
  • Support business development efforts by identifying new opportunities and providing domain expertise.

Qualifications:

  • 8-12 years of experience in the banking and finance sector, with a focus on AML and compliance.
  • Excellent practical knowledge of machine learning, statistics, and graph analytics.
  • Experience with data science toolkits, visualization tools, query languages (SQL, Hive, Pig), and NoSQL databases.
  • Demonstrable ability to conceptualize and complete model development and optimization.
  • Strong data mining and processing skills.
  • Outstanding interpersonal skills, with the ability to effectively convey sophisticated concepts to non-technical collaborators.
  • Demonstrated business insight, critical thinking, and problem-solving ability.
  • Experience in providing technical solutions and mentorship in sophisticated application environments.
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