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Dow Jones

Research Editor, Companies Ownership Research

Posted 25 Days Ago
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Singapore
Mid level
Singapore
Mid level
The Research Editor will monitor, analyze, and update compliance profiles, provide data insights, maintain automated workflows, and respond to client inquiries, while supporting various projects.
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Job Description:

About the Role

Dow Jones Risk & Compliance is a global provider of third-party risk management and regulatory compliance solutions. We deliver data, research tools and services to help our clients meet anti-money laundering, anti-bribery, anti-corruption and economic sanctions regulations and mitigate third-party risk. 

You will join a team of multilingual experts who research, record and update details on individuals and entities from specific countries for the Dow Jones Risk & Compliance database. You will report to a manager within the Risk & Compliance research team. You will be based in Singapore.

You Will:

  • Create and update Dow Jones Risk & Compliance profiles for a variety of countries and Risk & Compliance contents by continually monitoring and analysing relevant publicly available websites and media sources 
  • Research and extract relevant data adhering to Risk & Compliance coverage guidelines on content selection, data coverage and accuracy standards ensuring that people and entity profiles are complete, accurate and up-to-date
  • Contribute to workflow improvements and tool efficiencies using an automation mindset
  • Maintain and monitor existing automated workflows
  • Monitor and analyse changes in anti-money laundering regulations
  • Respond in writing to clients’ questions about Risk & Compliance content
  • Write due diligence reports on companies and/or individuals as required and contribute to other projects and initiatives
  • Support the Dow Jones B2B business with translation services as and when required

You Have:

  • Fluency in English, Arabic and Bahasa
  • Knowledge of tools such as Python, HTML, advanced knowledge of Excel, Macros/VBA programming and/or SQL
  • Excellent research, analytical and writing skills
  • Proofreading skills and experience in handling large volumes of information
  • Sound decision-making and problem-solving skills
  • A reliable and responsible attitude and an ability to work autonomously
  • An openness to different views and appreciation of team diversity
  • An ability to work well with others
  • The ability to manage priorities to meet deadlines
  • The ability to communicate clearly and effectively 

Preferred:

  • Fluency in additional languages
  • Knowledge of and interest in current affairs and anti-money laundering regulations 
  • Education to a degree level or relevant experience

APAC Benefits

  • Comprehensive Insurance & Retirement plans
  • Paid Time Off and Leaves
  • Education Benefits
  • Family Care Benefits
  • Career Growth Programs
  • Access to Dow Jones Products
  • Employee Referral Program
  • Employee Well-being Support & Fitness Programs

Reasonable accommodation: Dow Jones, Making Careers Newsworthy - We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.EEO/AA/M/F/Disabled/Vets. Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities, in our job application and/or interview process. If you need assistance or accommodation in completing your application, due to a disability, email us at [email protected]. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.

Business Area:

Dow Jones - Data & AI

Job Category:

Data Analytics/Warehousing & Business Intelligence

Union Status:

Non-Union role

Top Skills

Excel
HTML
Macros/Vba
Python
SQL

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