Chase, a leading provider of diverse financial services worldwide, is actively seeking service ... Prior experience with data annotation, conversational analysis, taxonomy development, machine ...
Chase, a leading provider of diverse financial services worldwide, is actively seeking service ... Prior experience with data annotation, conversational analysis, taxonomy development, machine ...
Familiar with industry annotation and labeling methods * Experience with various data modeling techniques and tools * Familiar with Finance and Banking products * Broad expertise in data technologies ...
Familiar with industry annotation and labeling methods * Experience with various data modeling techniques and tools * Familiar with Finance and Banking products * Broad expertise in data technologies ...
Annotation Finance information
What are the key skills and qualifications needed to thrive as an Annotation Finance Specialist, and why are they important?
To thrive as an Annotation Finance Specialist, you need a solid understanding of financial concepts, data analysis, and attention to detail, typically supported by a degree in finance, accounting, or a related field. Familiarity with data annotation tools, financial modeling software, and spreadsheet applications like Excel is commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with stakeholders. These skills ensure accurate data labeling and analysis, which are critical for driving informed financial decisions and supporting AI or machine learning initiatives in the finance sector.
How hard is it to get hired by data annotation?
Getting hired for data annotation roles generally requires basic computer skills, attention to detail, and sometimes familiarity with specific tools or platforms. Many positions are entry-level and do not require advanced education, making the application process relatively accessible, though competition can vary based on the employer and job volume.
What is an Annotation Finance job?
An Annotation Finance job typically involves labeling and categorizing financial data to train machine learning models used in fintech applications, such as fraud detection, risk assessment, and financial forecasting. Professionals in this role review and annotate various financial documents, transactions, or datasets to ensure the accuracy and quality of the training data. Attention to detail and a good understanding of financial terminology are important for this position. Annotation Finance specialists may work for financial institutions, technology companies, or data labeling firms. Their contributions are crucial for developing reliable AI systems in the finance sector.
What are common challenges faced by professionals working in Annotation Finance, and how can they be addressed?
Professionals in Annotation Finance often face challenges related to maintaining high data accuracy and consistency, especially when working with large volumes of financial documents or transactions. Ensuring compliance with evolving regulatory standards and managing sensitive financial information securely are also key concerns. To address these challenges, it's important to stay updated on industry best practices, utilize robust annotation tools, and communicate closely with team members and compliance officers. Regular training and adopting quality assurance protocols can further enhance data reliability and workflow efficiency.
What is annotation in finance?
In finance, annotation refers to the process of adding notes, comments, or clarifications to financial documents, data, or models to improve understanding and accuracy. Financial analysts and professionals often use annotation tools to highlight key information or discrepancies, supporting better decision-making and communication. Proficiency with relevant software and attention to detail are important skills for this role.
What is the difference between Annotation Finance vs Data Analyst?
| Aspect | Annotation Finance |
|---|---|
| Primary Role | Annotating financial data for machine learning models in finance |
| Required Skills | Financial knowledge, data annotation, attention to detail |
| Work Environment | Data labeling teams, finance tech companies |
| Certifications | Basic financial certifications may help, but not mandatory |
Annotation Finance focuses on labeling financial data for AI applications, requiring financial understanding and data annotation skills. Data Analysts analyze and interpret data to inform business decisions, often involving data cleaning and reporting. While both roles work with data, Annotation Finance is specialized in preparing data for machine learning, whereas Data Analysts focus on data analysis and insights.
What is a financial annotation?
A financial annotation involves adding detailed notes or labels to financial data, such as transactions, reports, or market information, to improve understanding and analysis. This task often requires attention to accuracy and familiarity with financial terminology and tools like spreadsheets or annotation software.
What does an annotation job do?
An annotation job involves labeling or tagging data, such as images, text, or videos, to help train machine learning models. Workers typically use specialized tools to add accurate annotations, which are essential for developing AI systems in fields like autonomous vehicles, natural language processing, and computer vision.
What are popular job titles related to Annotation Finance jobs in Ohio? For Annotation Finance jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Annotation Finance jobs in Ohio look for? The top searched job categories for Annotation Finance jobs in Ohio are:
What cities in Ohio are hiring for Annotation Finance jobs? Cities in Ohio with the most Annotation Finance job openings:
Full-time
Medical, Retirement
Posted 14 days ago
Job description
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.
JOB DESCRIPTION
Working at Chase means making a real difference every day for your customers, your community and
yourself. How? By putting others first, doing what's right and creating solutions that make lives better.
Build your career on our strong foundation and help shape what's nextâfor you and for us. Chase, a
leading provider of diverse financial services worldwide, is actively seeking service-center team
members to create lifelong engaged relationships with our customers by delivering superior service and
quality with every customer interaction
As a Data Domain Architect Analyst within Consumer and Community Banking, you will leverage your business expertise and knowledge of JPMorgan Chase products to collaborate effectively with Data Science, Analytics, and Engineering teams. You will be responsible for developing and enhancing machine learning solutions by gathering, curating, annotating, enriching, and validating data. Additionally, you will create taxonomies and other resources to train machine learning models, extract insights, conduct analysis, and potentially generate content.
Job Responsibilities:
- Label and annotate call center transcripts and other datasets to support the development of machine learning models.
- Review and validate the outputs of AI and ML models, ensuring accuracy as well as alignment with business goals and compliance standards.
- Leverage GenAI tools to conduct deep dives into call datasets to uncover opportunities to improve customer experience.
- Provide expert guidance to stakeholders on leveraging ML/AI discovery tools for actionable insights.
- Draft and refine taxonomies and classification schemas to enhance data organization and model training.
- Identify and escalate anomalies, errors, or unexpected model behaviors, acting as a critical checkpoint in our AI workflow.
- Work closely with data scientists, engineers, and business stakeholders to continuously improve annotation processes and model performance.
Required qualifications, capabilities, and skills:
- Experience with banking products and/or customer service within the financial services industry
- Bachelor's degree in business or comparable discipline; or equivalent level demonstrated in relevant work experience.
- Excellent analytical and problem-solving skills and the ability to pay close attention to detail
- Experience in working with and analyzing large real-world datasets.
- Ability to interpret and apply business context to technical tasks.
- Interest in machine learning and willingness to develop new skills in this area.
Preferred qualifications, capabilities, and skills
- Prior experience with data annotation, conversational analysis, taxonomy development, machine learning projects, and/or quality assurance
- Familiarity with industry annotation and labeling methods.
- Working knowledge of information and data retrieval.
ABOUT US
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
ABOUT THE TEAM
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
About J.P. Morgan
Sourced by ZipRecruiter
Industry
Banking and credit intermediation
Company size
10,000+ Employees
Headquarters location
New York, NY, US