Daily Quant Insight Posts
Budget / SalaryHourly project
TypeFreelance project
LocationRemote
Posted1 hour ago
I need a seasoned content creator who can translate quantitative market analysis into short, compelling LinkedIn updates every weekday. Each post should distill the day’s key data points—price action, volume shifts, notable statistical signals, or macro indicators—into a crisp narrative that busy finance professionals can read in under a minute.
Because the core goal is to provide daily market insights, I expect you to be comfortable scanning data feeds, charts, and reputable research, then turning those findings into plain-English commentary with an evidence-backed takeaway. Familiarity with Bloomberg, Python-driven charting, or similar quant tools will help you move fast and keep the voice authoritative without drifting into jargon.
Your experience writing for finance audiences matters most to me. Send a short note outlining where you’ve published similar market recaps or analytics-focused posts, and point me to live examples if possible.
Deliverables
• One LinkedIn-ready post (150–220 words) every trading day, delivered by 12 p.m. ET
• A simple spreadsheet or Airtable log with the headline, key metrics referenced, and source links for each post
I’ll review the first week as a pilot, then roll into an ongoing schedule if the tone and analytical depth hit the mark.
Because the core goal is to provide daily market insights, I expect you to be comfortable scanning data feeds, charts, and reputable research, then turning those findings into plain-English commentary with an evidence-backed takeaway. Familiarity with Bloomberg, Python-driven charting, or similar quant tools will help you move fast and keep the voice authoritative without drifting into jargon.
Your experience writing for finance audiences matters most to me. Send a short note outlining where you’ve published similar market recaps or analytics-focused posts, and point me to live examples if possible.
Deliverables
• One LinkedIn-ready post (150–220 words) every trading day, delivered by 12 p.m. ET
• A simple spreadsheet or Airtable log with the headline, key metrics referenced, and source links for each post
I’ll review the first week as a pilot, then roll into an ongoing schedule if the tone and analytical depth hit the mark.
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