feat(job_scout): add trading/quant-finance scoring keywords

Dennis is interested in trading roles (energy/finance/crypto), but the
scorer had no terms for them, so trading-tech roles scored 0 and got
buried. Add a trading/quant cluster (trading, trader, quant, market
data, low-latency, FIX protocol, brokerage, commodity, execution) plus
singular "solution architect" and adjacent stack (C#, .NET).

Bitcoin Suisse's Solution Architect Trading now scores 4 (medium) on
title alone, up from 0.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

job_scout/scout.py

@@ -62,6 +62,12 @@ POSITIVE_KEYWORDS = {
     "ai infrastructure": 2, "inference": 2, "rag": 2, "agentic": 2,
     "kubernetes": 1, "docker": 1, "etl": 1, "pipeline": 1,
     "crypto": 2, "blockchain": 2, "web3": 2, "solidity": 3,
+    # Trading / quant-finance — explicit user interest (energy/finance/crypto trading)
+    "trading": 2, "trader": 2, "quant": 2, "quantitative": 2,
+    "market data": 2, "low latency": 2, "low-latency": 2, "fix protocol": 2,
+    "brokerage": 2, "commodity": 1, "execution": 1,
+    # "solutions architect" (plural) already scored above; add singular + adjacent stack
+    "solution architect": 2, "c#": 1, ".net": 1,
     "senior": 1, "staff": 1, "lead": 1, "principal": 1,
 }