Assistant Research Associate
4 days ago
Employment Type: Full-Time
Schedule: Monday to Friday, Day Shift
Experience: 2+ years in Research, Data Analysis, or Market/Technical Research
Scry AI is a research-led enterprise AI company that builds intelligent platforms for BFSI institutions to drive efficiency, insight, and compliance. Our solutions support complex workflows across finance, insurance, and operations by automating data extraction, analysis, and real-time intelligence delivery.
We are looking for a Research Assistant to support product, market, and technical research. You will help gather and analyze information, run structured evaluations, and produce concise briefs that inform product roadmaps, GTM strategy, and client solutions.
As a Research Assistant, you will execute end-to-end research tasks across literature reviews, competitive analysis, dataset preparation, and model evaluation support. You will work closely with product managers, data scientists, solution consultants, and marketing to convert raw findings into clear insights and decision-ready summaries.
Research Planning and Execution
Translate problem statements into research questions, hypotheses, and deliverables.
Conduct literature reviews across academic papers, standards, and industry reports.
Data and Analysis
Collect and clean data from trusted sources and public datasets.
Run structured analyses in spreadsheets or Python or SQL to validate hypotheses.
Produce research briefs, one-pagers, and slide summaries with citations.
Maintain research logs, assumptions, and references for auditability.
Follow privacy, security, and ethical guidelines for data handling.
2+ years of experience in research, analytics, consulting, or a related role.
~ Strong skills in secondary research, note-taking, and citation management.
~ Proficiency with Excel or Google Sheets and comfort with pivot tables and basic formulas.
~ Working knowledge of Python or SQL for basic data wrangling is a plus.
~ Clear writing skills with the ability to produce concise, structured summaries.
~ Familiarity with BFSI concepts or enterprise software ecosystems is a plus.
Google Suite, Notion or Confluence, Airtable, Jira, and presentation tools.
Exposure to AI or data workflows such as information extraction, evaluation metrics, or prompt testing.
Experience building competitor landscapes and VC funding maps.
Understanding of compliance and risk themes relevant to BFSI.
Communicates insights simply and backs them with data and sources.
Enjoys collaborating across product, data, and go-to-market teams.
Tip for candidates
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