About the Company
Fidelity International provides world-class investment solutions and retirement expertise. As a privately owned company, we think long-term and invest for the future. We offer a wide range of services, including investment management, wealth management, and workplace pensions, to clients across Europe, Asia, and other international markets. We are committed to fostering a diverse and inclusive environment where innovation and personal growth are encouraged.
Job Description
We are seeking a highly detail-oriented and analytical Investment Management Data Annotator to join our remote team. In this critical role, you will be responsible for meticulously reviewing, categorizing, and annotating financial data to enhance our machine learning models and data analysis capabilities. This position is vital for maintaining the accuracy and integrity of the data that drives our investment decisions and client services. You will work with various types of financial information, ensuring consistency and adherence to predefined guidelines.
Key Responsibilities
- Accurately annotate large datasets of financial information, including market data, company reports, news articles, and regulatory filings.
- Categorize and tag data points according to specific taxonomies and project requirements.
- Identify and correct inconsistencies, errors, or ambiguities in data.
- Collaborate with data science and engineering teams to refine annotation guidelines and improve model performance.
- Provide constructive feedback on annotation tools and processes to enhance efficiency and quality.
- Maintain strict confidentiality and security protocols for sensitive financial data.
- Participate in regular quality assurance reviews to ensure high standards of data annotation.
- Stay informed about industry best practices in data annotation and financial data management.
Required Skills
- Exceptional attention to detail and a strong commitment to accuracy.
- Proficiency in using data annotation tools and software.
- Excellent analytical and problem-solving skills.
- Ability to work independently and manage time effectively in a remote setting.
- Strong written communication skills for documentation and feedback.
- Basic understanding of financial markets, investment concepts, or economic terminology.
- Proficiency with standard office software (e.g., Microsoft Office Suite).
Preferred Qualifications
- Bachelor's degree in Finance, Economics, Business, Data Science, or a related quantitative field.
- Previous experience in data annotation, data entry, or quality assurance, especially within the financial sector.
- Familiarity with specific financial data providers or platforms.
- Experience with SQL or other data querying languages.
- Understanding of machine learning principles and their application to data annotation.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- Generous pension scheme with company contributions.
- Flexible working hours and a fully remote work model.
- Generous paid time off and national holidays.
- Professional development and training opportunities.
- Employee assistance program.
- Remote work stipend for home office setup and utilities.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
⚠️ Important Disclaimer
Welcome to Westford Trust. We publish job opportunities aggregated from public sources, employers, and job portals. We never charge any fees to access or use our website; all information is provided entirely for free.
Westford Trust does not directly offer or manage these positions, nor are we directly involved in the hiring process for the vacancies published on https://jobs.westfordtrust.com.
If you suspect a fraudulent listing or have any questions, please contact us at techturna@gmail.com.