Job summary
Job post source
This job is directly from E-Solutions
Job overview
The Financial Data Evaluation role at E-Solutions involves reviewing and assessing the accuracy and fairness of model-generated answers related to financial data, impacting the quality of LLM evaluation projects.
Responsibilities and impact
The analyst will review financial question and answer tasks, verify correctness using source documents, score model answers against gold standards, validate automated scores, justify scoring decisions, and flag ambiguous questions for improvement.
Experience and skills
Candidates should have expertise in finance or accounting, preferably CFA certified, strong attention to detail, experience with financial reports, familiarity with QA evaluation tasks involving LLM outputs, and excellent written communication skills.
Company overview
E-Solutions is a global IT services and consulting company specializing in providing innovative technology solutions to businesses across various industries. They generate revenue through a mix of IT consulting, software development, and managed services, helping clients optimize their technology infrastructure and improve operational efficiency. Founded in 2003, E-Solutions has grown significantly, establishing a strong presence in North America, Europe, and Asia. The company is known for its commitment to customer satisfaction and its ability to deliver customized solutions that meet the unique needs of each client.
How to land this job
Tailor your resume to emphasize your expertise in finance and accounting, highlighting any experience with financial reports, earnings documents, and analytical review tasks relevant to the Question and Answer Review Analyst role at E-Solutions.
Showcase your strong reading comprehension, attention to detail, and ability to evaluate model-generated answers against gold-standard financial data, stressing skills in accuracy assessment and fairness validation of automated scoring.
Apply through multiple platforms such as the E-Solutions corporate career page, LinkedIn, and other job boards where the position is listed to maximize your chances of being noticed.
Connect with professionals in E-Solutions’ data evaluation or financial analysis divisions on LinkedIn; use ice breakers like commenting on recent projects involving LLM evaluations or asking about their approach to financial data accuracy in AI models.
Optimize your resume for ATS by incorporating keywords from the job description such as 'financial data evaluation,' 'QA review,' 'LLM outputs,' 'accuracy assessment,' and 'automated reviewer scores' to ensure it passes initial screenings.
Utilize Jennie Johnson’s Power Apply feature to automate tailored applications, identify multiple application channels, and find relevant LinkedIn contacts, allowing you to focus more on preparing for interviews and networking effectively.
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