Himalayas · Partner listing🌍 Equity Research Analyst / Associate, Remote - Contract
Xperteez Technology
⌖ WorldwideSalary not providedRemoteContract · Not specified
Source: Himalayas ↗
Location & working arrangementWorking arrangement is supplied by the provider. Check the original advert for attendance and travel requirements.
Provider location / applicant eligibility: Worldwide
About the role
Role Title: Equity Research Analyst / Associate
Role Type: Contract
Location: Remote
Required Skills:
Equity research
Financial analysis
Sell-side research publishing
Ai tools for financial research
Analytical rigor
Attention to detail
Written communication
Verbal communication
Interviewing
Usability testing
Information synthesis
Industry expertise (public companies)
Workflow evaluation
Feedback documentation
In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. This engagement specifically seeks contributors with recent, hands-on experience producing published, sell-side research on public companies. You'll have the opportunity to evaluate AI tools and participate in expert interviews, directly influencing how financial research workflows are enhanced by emerging technologies.
Scope of Work:
Participate in structured expert interviews to provide insight into current sell-side research methodologies and workflows.
Test and evaluate AI-powered tools and platforms designed for equity research analysis, delivering feedback on usability, coverage, and analytical output.
Review and interpret generated financial content to assess accuracy, depth, and industry relevance.
Share perspectives on integrating AI tools into traditional equity research processes.
Document observations and recommendations to inform the development of advanced AI models tailored to financial research needs.
Collaborate with project coordinators to ensure feedback is actionable and aligns with project objectives.
Contribute written and verbal feedback, emphasizing clarity and depth in communication.
Preferred Qualifications:
Current or recent experience as a sell-side Equity Research Analyst or Associate, including publishing research, ratings, price targets, earnings notes, or coverage initiations for public companies.
Hands-on familiarity with AI tools used in financial research or analysis workflows.
Strong written and verbal communication skills, with a demonstrated ability to articulate complex concepts clearly.
Experience participating in or conducting interviews, panel discussions, or feedback sessions on industry tools and practices.
Recognized for analytical rigor, attention to detail, and industry expertise.
Proven ability to evaluate and synthesize information from multiple sources to provide actionable insights.
Background working with institutional clients and accustomed to the standards of published sell-side research.
Originally posted on Himalayas
Skills mentioned in the listing
Financial analysisInterviewingUsability testing
Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.
Why these skills appear
Financial analysis · requirement-context
ociate Role Type: Contract Location: Remote Required Skills: Equity research Financial analysis Sell-side research publishing Ai tools for financial research Analytical rigor Attention to detail Written comm
Interviewing · mentioned
al rigor Attention to detail Written communication Verbal communication Interviewing Usability testing Information synthesis Industry expertise (public companies) Workflow evaluation Feedback documentat
Usability testing · mentioned
ntion to detail Written communication Verbal communication Interviewing Usability testing Information synthesis Industry expertise (public companies) Workflow evaluation Feedback documentation In this r