Sigma Computing Consulting for Hedge Funds and Asset Managers

Give analysts back the hours they spend rebuilding positions, P&L and exposure in Excel every morning. We build Sigma workbooks on Snowflake that refresh on their own and still feel like a spreadsheet.

The short answer

We build Sigma workbooks on Snowflake for daily positions, P&L, exposure, risk and investor reporting, so the numbers analysts copy between Excel models every day arrive ready. Sigma queries the warehouse live through a spreadsheet grid, so analysts keep working the way they already do while the time spent assembling files goes to analysis instead.

Where the Hours Go Today

  • Someone rebuilds the positions and P&L file from overnight exports before the morning meeting.
  • Exposure and risk views live in Excel models that only one analyst fully understands.
  • Investor and performance reports take days of copying numbers between workbooks each month.
  • Looking up what the book looked like on a past date means finding an old file.

Sigma Workbooks We Build

Daily Positions and P&L
Positions, prices and daily P&L by fund, strategy and security, read from dated Snowflake tables so any past day can be reopened.
Exposure and Risk Views
Gross and net exposure by sector, country, currency or strategy, with drill paths from the fund down to the position.
Investor and Performance Reporting
Monthly performance and investor packs built from the same tables as the daily views, with scheduled PDFs instead of hand-built decks.
Excel Model Replacement
We move the logic out of fragile spreadsheet models into Snowflake and Sigma, then check the new workbook against the old model before anyone switches.

Why Sigma Fits

Analysts already live in Excel
Sigma works as a spreadsheet grid with over 200 functions on live warehouse data, so analysts can build and check numbers without learning SQL.
No extracts to refresh
Sigma queries Snowflake directly, so the morning view reflects the latest load without anyone exporting or refreshing a file.
Inputs where analysts need them
Input tables let users enter marks, notes or adjustments that are stored in the warehouse, so manual inputs stop living in side spreadsheets.

Data We Connect

  • Order and execution management system
  • Fund administrator files
  • Prime broker files
  • Market data feeds
  • Accounting system
  • Excel models and manual marks
  • Snowflake

Common questions

Is Sigma good for hedge funds?

Sigma fits funds whose analysts think in spreadsheets and whose data is already in, or moving to, a cloud warehouse such as Snowflake. It gives them a familiar grid on live data instead of copies of exports.

Can Sigma replace Excel for portfolio reporting?

For recurring reports such as daily positions, P&L and exposure, yes. We move the logic into Snowflake and Sigma and check the results against the existing Excel model before cutover; one-off analysis can still happen in a spreadsheet.

Can we see positions as of any past date?

Yes, if the history is stored in dated tables. We set up Snowflake so each day is kept, then add a date control in Sigma so analysts can reopen any past day.

How long does a Sigma build take?

It depends on how many sources you have, how much history you need and how clean the files are. We scope it on a short call, starting with one report.

Who leads the Sigma work?

We are an independent consultancy, and the work is led by a Sigma-certified consultant.

Bring the report that eats your week

We'll look at it with you and say what Sigma would save. No pitch deck.

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