Associate Content Analyst (Korean)
LSEG is hiring an Associate Content Analyst (Korean) in Beijing, China. Level rates it ; you can apply on LSEG.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting mentions Copilot among its tools and skills.
- Level classes it as a junior role.
- LSEG has 674 other open roles on Level.
- Posted in the last few days.
AI in this role
Company Data - Fundamentals is one of the key verticals within Content Operations and Managed Services. The vertical is basically responsible for providing financial information to the clients on companies across the globe. Financial information for the clients would basically mean presenting financial statements as reported by the companies to the clients. The day-to-day responsibility would mean updating Balance Sheet, Income Statement and Cash Flow Statement, including footnote items and business, geographic and pension related segments in the database which would be key input to generate the ratio analytics and eventually flow on to the products. The data collection process would be completely governed by internal policies of LSEG. The entire updates would need to be performed within the set timelines and with expected standards of accuracy.
Role responsibilities
• Process and maintain data accurately and in a timely manner onto databases using database and financial knowledge.
• Taking responsibility for data quality, accuracy, timeliness and completeness
• Developing expertise in database and financial knowledge through continuous learning and development. Build up knowledge of financial regulations and market practices/conventions in relevant markets.
• Improve usage of available tools/support to best of advantage to maintain/improve content quality during daily operations
• Adhere to dynamic process, data operations standards and current data policies & procedures.
• Responsible for delivering high productivity and quality data as per expected performance standards
• Working effectively within teams or by yourself, be proactive to identify, call out and resolve data problems
• Communicate & liaise with internal and external departments for resolution of data queries as per established process
• Support continuous improvement of the process by sharing observations and feedback
Required Skills
- Excellent written and verbal communication in English and Korean
- Understanding of Financial Markets and Statements
- Microsoft Office Skills – Outlook, Excel
Education
- Bachelor’s Degree or Master’s Degree
Preferred Qualifications
The following qualifications and skills are considered an advantage but are not mandatory:
- Educational background in Business, Finance, Accounting, Economics, Data Analytics, Computer Science, or a related field.
- Demonstrated interest in automation, AI tools, data analytics, or process improvement.
- Experience with Python, Power BI, SQL, Microsoft Copilot, or other AI-assisted productivity tools is a plus.
- A curious and technological mindset, with an interest in applying digital solutions to improve operational efficiency and processes.
Career Stage:
AssociateLondon Stock Exchange Group (LSEG) Information:
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.
If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
How we rate this
Associate Content Analyst (Korean) at LSEG rates 31 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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