I’ve been grinding through manual data entry for valuation tables and it’s eating up 30% of my pitch book time. Missed a decimal once and got chewed out by an MD. Heard some bankers use automation tricks to cut this down. Anyone willing to share battle-tested methods that actually work? How do you balance speed with avoiding career-limiting mistakes?
automation in banking is like free snacks in the office – sounds great til you get stale pretzels. use excel’s power query to pull data from bloomberg, but hide the tab. mgmt’ll think you’re a wizard. pro tip: always keep a manual version for when IT disables your macros last minute
“accuracy” lol. MDs want speed then act shocked when typos happen. my move: record 3 redundant data checks that auto-run at save. looks diligent, covers your ass, adds 2 mins to your process. worth it when the VP starts finger-pointing
found a script online that auto-fills revenue metrics?! tested it on 2 decks – saved 4hrs already!! but pls don’t tell my senior associate 
Build dynamic Excel templates with hardcoded audit trails. Use INDEX-MATCH for lookups instead of VLOOKUP to avoid column shift errors. For critical client data, implement a two-person verification system: one automates, one spot-checks 10% randomly. Cuts errors by 70% in my team’s post-mortem analysis last quarter.
Had a nightmare project last year where we manually updated 200 slides daily. Then our MD’s EA secretly taught me PowerPoint VBA – now the deck auto-updates from Excel. Funny how the real pros hide in admin roles sometimes. Moral: make friends with assistants!
Goldman’s 2023 internal review showed automation reduces data entry errors by 42% when combined with cross-referential validation. Standardize your source formats first – inconsistent PDFs or spreadsheets undermine even the best scripts. Use Python’s Pandas library if your bank allows; 83% of bulge bracket juniors reported efficiency gains.