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Mission : Turn rigorous public-markets research into live portfolio results and AI-ready assets (datasets, signals, templates, playbooks) that power WealthNx.
Role & Impact
You’ll run a model portfolio (equities / ETFs + crypto), publish decision-ready briefs, and convert your work into structured inputs our AI agents use to generate user actions.
Overview
Role focused on managing a live model portfolio and translating research into actionable outputs for AI-enabled decision tools.
Responsibilities
- Portfolio & Strategy (60%)
- Own a live model portfolio : coverage universe, target weights, rebalances.
- Publish concise research briefs (thesis, risks, valuation band, catalysts, timelines).
- Report performance : alpha vs benchmark, max drawdown, volatility, Sharpe, downside capture .
- Maintain risk controls (position limits, stop rules, earnings / event playbooks).
- AI & Product (40%)
- Create ground-truth datasets (labels, rationales) and evaluation suites to measure agent quality (alert hit-rate, action usefulness).
- Define signals / features (e.g., earnings-surprise z-scores, factor tilts, liquidity / volatility regimes, on-chain flow metrics) and partner on backtests & ablations .
- Author Text→HTML templates (research one-pager, portfolio snapshot) and execution-only playbooks (DCA, rebalance) with caps / 2FA guardrails.
- Write “Why it moved” explanations and safe, user-facing copy.
Requirements
6–10+ years buy-side or sell-side research / portfolio management (global exposure ideal).Strong valuation & modeling (DCF / comps), financial statement analysis, risk metrics.Macro fluency (rates, inflation, growth, policy) → positioning implications.Tools : Advanced Excel ; Python a plus; TradingView / Bloomberg / FactSet / Barchart or equivalents.Clear, tight writing; ability to turn analysis into actionable outputs .Nice to Have
CFA (any level) or progress toward it.Crypto fundamentals / on-chain literacy (tokenomics, flows, protocol risk).SMC / ICT familiarity (optional, not required).KPIs You’ll Own
Alpha vs benchmark (YTD / 12m) and Max DrawdownAlert / Signal Hit-Rate (defined horizons)Research Throughput (briefs / week) & Template AdoptionAblation Wins (signals kept vs. dropped after testing)Seniority level
Mid-Senior levelEmployment type
Full-timeJob function
Finance and SalesIndustries
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