LinkedIn Finance Talent Sourcing Contest
Budget: $10 – $30 USD
I’m running a quick sourcing challenge: use LinkedIn to identify finance professionals who match this specific role profile.
Your job is to build a clean spreadsheet of potential candidates.
You may work in either Google Sheets or Excel; just keep the columns consistent so I can sort, filter, and verify the data easily.
Deliverable
? Task
Build a spreadsheet of Portfolio Managers or Proprietary Traders working at hedge funds or commodity trading houses, who are focused on agricultural products.
✅ Scope of Search
Geographies (must be based in one of):
USA
Canada
European Union
Dubai / UAE
Hong Kong
Singapore
Australia
Products (must be trading at least one of):
Grains (e.g. corn, wheat, soybeans)
Soft commodities (e.g. coffee, cocoa, sugar, cotton)
Oilseeds / vegetable oils (e.g. palm oil, rapeseed)
Employers (examples, not exhaustive):
Hedge funds (multi-manager or single manager)
Proprietary trading firms
Commodity trading houses (e.g. Cargill, Louis Dreyfus)
? What Each Entry Must Include (columns in spreadsheet)
Full name
Current job title (must include Portfolio Manager, PM, Trader, or equivalent senior role)
Company name
Company type (hedge fund, trading house, prop trading firm)
Commodity focus (grain, softs, oilseeds, etc.)
City and country
LinkedIn profile URL
❌ Exclusions (do not include)
Junior roles (e.g. analysts, associates, researchers)
Non-agriculture traders (e.g. equity, FX, energy, metals only)
People at banks or brokers (focus must be hedge fund, prop firm, or trading house)
Duplicates
? Judging Criteria
Submissions will be judged on:
Relevance – Meets all geography + product + role criteria.
Accuracy – Correct job title, company, and LinkedIn link.
Completeness – Minimum of 50 qualifying names required to be considered.
Clarity – Spreadsheet must be neat, deduplicated, and properly filled in.
Entries that do not meet the minimum relevance/accuracy requirements will not be considered.
I’ll judge entries on accuracy, completeness, and how well each profile fits the stated criteria. Good luck and happy hunting!
Your job is to build a clean spreadsheet of potential candidates.
You may work in either Google Sheets or Excel; just keep the columns consistent so I can sort, filter, and verify the data easily.
Deliverable
? Task
Build a spreadsheet of Portfolio Managers or Proprietary Traders working at hedge funds or commodity trading houses, who are focused on agricultural products.
✅ Scope of Search
Geographies (must be based in one of):
USA
Canada
European Union
Dubai / UAE
Hong Kong
Singapore
Australia
Products (must be trading at least one of):
Grains (e.g. corn, wheat, soybeans)
Soft commodities (e.g. coffee, cocoa, sugar, cotton)
Oilseeds / vegetable oils (e.g. palm oil, rapeseed)
Employers (examples, not exhaustive):
Hedge funds (multi-manager or single manager)
Proprietary trading firms
Commodity trading houses (e.g. Cargill, Louis Dreyfus)
? What Each Entry Must Include (columns in spreadsheet)
Full name
Current job title (must include Portfolio Manager, PM, Trader, or equivalent senior role)
Company name
Company type (hedge fund, trading house, prop trading firm)
Commodity focus (grain, softs, oilseeds, etc.)
City and country
LinkedIn profile URL
❌ Exclusions (do not include)
Junior roles (e.g. analysts, associates, researchers)
Non-agriculture traders (e.g. equity, FX, energy, metals only)
People at banks or brokers (focus must be hedge fund, prop firm, or trading house)
Duplicates
? Judging Criteria
Submissions will be judged on:
Relevance – Meets all geography + product + role criteria.
Accuracy – Correct job title, company, and LinkedIn link.
Completeness – Minimum of 50 qualifying names required to be considered.
Clarity – Spreadsheet must be neat, deduplicated, and properly filled in.
Entries that do not meet the minimum relevance/accuracy requirements will not be considered.
I’ll judge entries on accuracy, completeness, and how well each profile fits the stated criteria. Good luck and happy hunting!
Related categories:
Data Entry
Research
Excel
Web Search
Linkedin
Data Analysis
Google Sheets
Sourcing
LinkedIn Recruiting
Data Management