Priya Malhotra

finance-economics-investment-analyst-characters-hetty-green v2.0 Ethical
Backstory: Raised in Mumbai, Priya’s knack for numbers and discipline from years of Bharatanatyam led her to a New York hedge fund focused on distressed debt. She pores over bankruptcy filings to spot mispriced bonds, then pushes hard in negotiations with lawyers and creditors. Outside work she keeps to a rigorous dance routine, believing structure fuels decisive action under pressure.
100% Complete
6/6 scenes
Model Performance Overview
Scene Performance Matrix
Scene meta-llama/llama-3.… mistralai/mistral-7… [email protected] [email protected] qwen/qwen-2.5-7b-in… qwen/qwen3-14b qwen/qwen3-8b
bond-scan
First-look on fresh bankruptcy
0.000
Details
0.531
Details
0.000
Details
Error
0.000
Details
Error
0.577
Details
0.565
Details
0.740
Details
flash-update
Rating downgrade alert
0.015
Details
0.825
Details
0.000
Details
Error
0.000
Details
Error
0.472
Details
0.568
Details
0.803
Details
court-filing-summary
Dense filing distilled
0.362
Details
0.397
Details
0.000
Details
Error
0.000
Details
Error
0.193
Details
0.302
Details
0.680
Details
dance-lesson-chat
Discipline crossover
0.511
Details
0.757
Details
0.000
Details
Error
0.000
Details
Error
0.731
Details
0.000
Details
0.573
Details
restructuring-memo
Long-form investment memo
0.295
Details
0.488
Details
0.000
Details
Error
0.000
Details
Error
0.473
Details
0.443
Details
0.581
Details
investor-call-script
Three-minute investor call
0.000
Details
0.377
Details
0.000
Details
Error
0.000
Details
Error
0.136
Details
0.355
Details
0.575
Details
Test Scenes 6
0
Scene Order
First-look on fresh bankruptcy
ID: bond-scan
🎯 Goal:
Offer a concise take on whether the newly issued DIP bonds are mispriced and state next step.
📨 Input Events:
chat_msg colleague:leo
"Chapter 11 just hit on CoralTech. DIP pricing looks rich at 800 bps, thoughts?"
Ready for Testing
1
Scene Order
Rating downgrade alert
ID: flash-update
🎯 Goal:
Deliver a snap decision on keeping or dumping existing position within three sentences.
📨 Input Events:
world_event Bloomberg
"S&P downgrades Atlas Retail bonds to CCC- on liquidity crunch."
Ready for Testing
2
Scene Order
Dense filing distilled
ID: court-filing-summary
🎯 Goal:
Summarize key creditor objections from today’s 40-page filing in under six bullets.
📨 Input Events:
chat_msg legal:marissa
"Uploading the creditors' committee filing now—need the gist fast."
Ready for Testing
3
Scene Order
Discipline crossover
ID: dance-lesson-chat
🎯 Goal:
Explain in a short reply (≤4 sentences) how dance training sharpens her market edge.
📨 Input Events:
chat_msg friend:anika
"Crazy how you juggle Wall St and Bharatanatyam. Does dance really help at work?"
Ready for Testing
4
Scene Order
Long-form investment memo
ID: restructuring-memo
🎯 Goal:
Write a 500-word internal memo outlining thesis, risks, and proposed trade structure for acquiring undervalued senior notes of Harbor Logistics.
📨 Input Events:
chat_msg PM:robert
"Need your memo on Harbor Logistics by noon—give me meat, no fluff."
Ready for Testing
5
Scene Order
Three-minute investor call
ID: investor-call-script
🎯 Goal:
Produce a clear, persuasive script (~350 words) summarizing fund’s Q2 performance and new distressed pipeline.
📨 Input Events:
chat_msg IR:claire
"Can you draft the opener for tomorrow’s investor call?"
Ready for Testing
Latency by Model (This Suite)
Fastest
  • [email protected]/Qw… 7323 ms
  • p95 • avg • N 12245 ms • 7841 ms • 6
  • meta-llama/llama-3.1-8b… 21402 ms
  • p95 • avg • N 167021 ms • 53775 ms • 6
  • qwen/qwen-2.5-7b-instru… 21988 ms
  • p95 • avg • N 22584 ms • 21871 ms • 6
  • mistralai/mistral-7b-in… 24918 ms
  • p95 • avg • N 36057 ms • 26735 ms • 6
  • qwen/qwen3-8b 27387 ms
  • p95 • avg • N 32604 ms • 27526 ms • 6
Slowest
  • [email protected]/Qw… 38938 ms
  • p95 • avg • N 43174 ms • 39677 ms • 6
  • qwen/qwen3-14b 28257 ms
  • p95 • avg • N 59878 ms • 32398 ms • 6
  • qwen/qwen3-8b 27387 ms
  • p95 • avg • N 32604 ms • 27526 ms • 6
  • mistralai/mistral-7b-in… 24918 ms
  • p95 • avg • N 36057 ms • 26735 ms • 6
  • qwen/qwen-2.5-7b-instru… 21988 ms
  • p95 • avg • N 22584 ms • 21871 ms • 6
Per-scene duration for this suite.
Suite Actions
Completion Progress 100%
6 of 6 scenes completed
Evaluation Schema
Enhanced Framework
Version v2 ACTIVE
0 dimensions

Enhanced evaluation framework with character and technical dimensions

Top Weighted Dimensions View Details
Character Authenticity
0.182
Plan Validity
0.155
Contextual Intelligence
0.136
Recent Runs
33304031
Dec. 17, 2025, 12:01 a.m.
48124754
Dec. 16, 2025, 12:01 a.m.
28964413
Dec. 15, 2025, 12:01 a.m.
30410591
Dec. 14, 2025, 12:01 a.m.
29442572
Dec. 13, 2025, 12:01 a.m.
41880955
Dec. 12, 2025, 12:01 a.m.
37950314
Dec. 11, 2025, 12:01 a.m.
30682658
Dec. 10, 2025, 12:01 a.m.
44019148
Dec. 9, 2025, 12:01 a.m.
32816077
Dec. 8, 2025, 12:01 a.m.
Latency Overview (This Suite)