Finance Data Analyst | Remote | $200K

Mercor; Canada; Remote; CAD 126,000 - 281,000; Full time

Job summary

A leading AI talent firm is seeking an AI Sell-Side Finance Data Specialist, responsible for utilizing proprietary software to enhance financial datasets for AI training. Candidates should have sell-side finance experience, strong analytical skills, and enthusiasm for applying technology to finance. Compensation ranges from $90,000 to $200,000 annually based on experience, with remote options available.

Qualifications

• Professional experience in trader, investment banker, or compliance officer roles.
• Strong command of English for communication in professional settings.
• Excellent analytical and interpersonal capabilities.

Responsibilities

• Use proprietary software for financial data labeling and annotation.
• Deliver quality datasets for AI training.
• Enhance annotation tools for finance data.

Skills

Sell-side finance experience

Professional communication in English

Analytical skills

Judgment and decision-making

Tech enthusiasm

Education

Advanced finance certifications (Series 7, CFA, etc.)

Job description

About The Job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position

AI Sell‑Side Finance Data Specialist

Type

Full‑time

Compensation

$90,000–$200,000/year

Location

On‑site in Palo Alto, CA or Remote

Commitment

40 hours/week

Role Responsibilities

• Utilize proprietary software to label and annotate data for projects centered on trading, sales, investment banking, and compliance workflows.
• Deliver curated, accurate, and high‑quality financial datasets for use in AI training.
• Assist in developing and enhancing efficient annotation tools specifically designed for sell‑side finance data.
• Identify, analyze, and solve complex problems in sell‑side domains to enhance model reasoning and reliability.
• Apply professional judgment to interpret evolving task instructions with precision and consistency.
• Contribute insights that improve data quality standards and model interpretability.

Qualifications

Must‑Have

• Professional experience in sell‑side finance roles such as trader, execution specialist, investment banker, sales professional, compliance officer, operations analyst, or risk manager.
• Strong command of professional and informal English communication.
• Excellent analytical, organizational, and interpersonal skills.
• Proven ability to make sound judgments independently with minimal guidance.
• Genuine enthusiasm for applying technology and AI to finance.

Preferred

• Advanced finance certifications (Series 7, Series 63, CFA, FRM, or equivalent).
• Experience mentoring or training professionals in trading, compliance, or operational finance processes.
• Familiarity with AI workflows, data annotation, or model training in a technical environment.
• Comfort with recording short audio or video materials for model evaluation or training purposes.

Compensation & Legal

• Competitive pay ranging from $90,000 to $200,000 annually for U.S.-based professionals, depending on experience and location.
• Eligible employees may have access to medical benefits, depending on their country of residence.
• International compensation packages available upon request.

Application Process (Takes 20–30 mins to complete)

• Submit your resume.
• Complete a 20‑minute interview focused on your experience and expertise.
• Selected applicants will move through the following steps:
• 15‑minute phone interview to discuss qualifications and background.
• Technical deep dive covering your expertise and data annotation experience.
• A take‑home challenge focused on practical problem‑solving and analysis.
• A meet‑and‑greet with the broader team.

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
• For any help or support, reach out to: [e-mail]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.