
S&P Global
The Location: Islamabad
Shift: Night Shift (US Hours, Work from Office)
The Team
The Data Tagging team will be the foundation of Kensho’s state-of-the-art ML solutions for a wide range of complex problems, including information extraction from document text and tables, document layout analysis, entity recognition, thematic tagging and more. These solutions power our customers’ data operations (including S&P Global’s) and serve as the foundation for Kensho’s natural languages processing products, such as NERD and Classify. We are currently seeking annotation analysts to help accelerate our model development cycle and continually raise the standards of our data operations.
What’s In It For You
- Be part of a dedicated team of annotation analysts who drive Kensho’s state-of-the-art machine-learning solutions by generating best-in-class labeled data.
- Become a subject matter expert in annotation workflows and annotation guidelines
- Label and evaluate documents and predictions in assigned queues for a variety of NLP-related projects
- Apply creative and independent thinking to identify and solve complex edge cases and eliminate ambiguity
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Collaborate with Kensho’s AI Data team and machine learning engineers to adjust instruction sets, provide feedback and insights, and explore promising strategic initiatives
What We’re Looking For
- Graduate Degree in Finance/Technology
- Good Written and Verbal Communication
- Working knowledge of Excel, VBA, and data visualization like Power BI/ Tableau is a plus
- Good understanding of Financial Markets, Corporate Actions & Financial Products (Mergers & Acquisitions and Capital Markets)
- Client-centric mindset
- Analytical mindset and strong logical reasoning
- Ability to prioritize, multi-task, and effective Utilization/Project Management skills
- An inquisitive and investigative nature.
- Ability to interact with many levels and to face and deal with issues in a mature and professional manner
- The ideal candidate should be comfortable working with a variety of data platforms and annotation tools
- Exceptional candidates will also be familiar/proficient with technologies adjacent to their work (python, SQL, Excel (VBA) & Data Visualization Tools)
- English fluency and impeccable communication skills
- Are innovation-oriented who can apply creativity with out-of-the-box solutions
- Are a thoughtful and collaborative annotator and teammate
- Strong Partnership oriented mindset
- Experience with AI & ML projects that involve handling financial data
- Exposure to financial documents sourcing and related automation is a plus
- Analytical mindset and strong logical reasoning
- Ability to prioritize, multi-task, and employ effective Time Utilization/Project Management skills
- Comfortable taking initiative and demonstrating resourcefulness
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A Positive attitude, strong interest in research, flair for writing and an eye for detail.
About Company Statement
S&P Global delivers essential intelligence that powers decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, you’ll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape.
Equal Opportunity Employer
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to:
[email protected]
and your request will be forwarded to the appropriate person.
US Candidates Only:
The EEO is the Law Poster
http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf
describes discrimination protections under federal law.
20 – Professional (EEO-2 Job Categories-United States of America), HUMRES203 – Entry Professional (EEO Job Group)
Job ID:
285486
Posted On:
2023-04-21
Location:
Islamabad, Pakistan