Data Labeller

Job Description: Data Labeller (Financial Industry)

About Us:
Walnut AI, Singapore (thewalnut.ai) is a cutting-edge AI company that provides innovative solutions for the banking sector. Our advanced AI technologies empower financial institutions to make data-driven decisions, streamline processes, and enhance customer experiences. We seek a dynamic and results-oriented Product Manager to join our team and play a pivotal role in driving our AI products' design, marketing, and sales efforts tailored for banking clients.

We are currently seeking meticulous and detail-oriented individuals to join our team as Data Labellers within the Financial Industry, specifically focused on Financial Statements. As a Data Labeller, you will play a critical role in supporting the development of sophisticated AI-driven solutions for our financial products and services. Your primary responsibility will be to accurately label and annotate financial data, with a particular focus on Financial Statements, which is instrumental in training our advanced machine learning models. Your commitment to precision and accuracy in labelling Financial Statements will directly impact the success of our AI algorithms and ensure the delivery of high-quality financial insights to our clients.

**Responsibilities**:
Data Annotation (Financial Statements): Precisely label and annotate various types of Financial Statements, including income statements, balance sheets, and cash flow statements, following predefined accounting standards and guidelines.

Quality Assurance (Financial Data): Conduct rigorous quality checks on the annotated financial data, especially Financial Statements, to maintain the highest level of accuracy and consistency in reporting financial metrics.

Data Cleaning: Collaborate with the data management team to ensure that labelled Financial Statements are free from errors and align with the relevant accounting principles and industry standards.

Deadline Adherence: Meet tight deadlines for data labelling tasks, particularly during financial reporting periods, to support timely analysis and decision-making.

Continuous Improvement: Actively participate in feedback sessions and training to enhance your labelling skills, understand complex financial reporting nuances, and stay abreast of changes in accounting regulations and compliance requirements.

Client Interactions: Engage in client interactions to understand their specific data labelling needs and tailor the Financial Statements annotation accordingly to meet their unique reporting requirements.

Data Security: Adhere strictly to data security and confidentiality protocols to protect sensitive financial information, ensuring client trust and compliance with data privacy regulations.

Documentation: Maintain comprehensive records of labelled Financial Statements and promptly report any issues or challenges encountered during the labelling process to the relevant stakeholders and clients.

**Requirements**:
Attention to Detail: Demonstrate a keen eye for detail and an ability to accurately label Financial Statements based on specific accounting standards and guidelines.

Financial Domain Knowledge: Possess a strong understanding of financial concepts, accounting principles, and financial statement analysis to ensure precise data annotation.

Client-Centric Approach: Showcase excellent client interaction skills, actively seeking feedback and understanding client expectations to deliver tailored Financial Statements labelling solutions.

Adaptability: Exhibit adaptability to work on diverse Financial Statements and adapt to various client reporting formats and preferences.

Time Management: Possess excellent time management skills to efficiently meet project deadlines, especially during critical financial reporting periods.

Communication: Communicate effectively with team members and clients, providing valuable insights and discussing labelling challenges to improve overall efficiency and client satisfaction.

Data Ethics: Understand the importance of data ethics, confidentiality, and integrity when handling sensitive financial data during client interactions.

Technical Proficiency: Be comfortable using labelling tools and financial software, with a good grasp of data manipulation techniques specific to Financial Statements.

Problem-Solving: Demonstrate the ability to identify and resolve labelling ambiguities and challenges related to Financial Statements, ensuring data accuracy and reliability.

Team Player: Work collaboratively within a team, leveraging collective knowledge and skills to achieve shared goals and enhance the quality of our financial products and services.

Education and Experience:
A Masters Degree

Diploma or equivalent is required for this position. A background in finance, accounting, or related fields is advantageous, as well as prior experience in data labelling or financial statement analysis. However, we provide comprehensive training to ensure you b