Join Yield Trust — Build Sustainable Yield with AI
We engineer a transparent, AI-orchestrated pool-investing stack across crypto and traditional markets. Our platform focuses on risk discipline, reliability, and real-time telemetry.
Social Media Expert
Own our channels end-to-end: content calendar, short-form reels, X/LinkedIn threads, growth analytics, and community modulation. Partner with Research and Product to ship high-signal updates.
- Editorial calendar, asset pipeline, and brand voice consistency.
- Analytics-led iteration (CTR, watch-time, retention, cohort growth).
- Hands-on content: copy, visuals, micro-video, and basic motion.
- Experience with web3/financial markets comms is a strong plus.
Market & Crypto Analyst (Quant/Technical)
Deliver disciplined analysis, risk notes, and tactical theses across liquid crypto pairs and index/FX overlays. Operate within research rails and publish to internal dashboards.
Certification & Education (required): CFA or CMT, plus a Master’s (or higher) in Quantitative Finance, Financial Engineering, Statistics, Mathematics, or a closely related field.
- Evidence-based analysis (structural + tactical); rigorous backtesting.
- Risk framing: drawdown math, regime detection, and stress stacks.
- Proficiency with Python (pandas/NumPy), SQL; code-first reporting.
- Clear English writing for institutional-grade notes.
AI Expert (ML/Systems) — Extremely High Bar
Build and harden learning systems that power allocation, telemetry, and safeguards. This is a deep technical role with stringent research and production expectations.
Certification & Education (required): PhD in Machine Learning, Computer Science, or Applied Mathematics (or equivalent research record). Publications at top venues (NeurIPS/ICML/ICLR or similar) are expected.
- 5+ years hands-on ML (PyTorch/TF/JAX), including distributed training, evaluation design, and drift/robustness.
- MLOps excellence: model registries, feature stores, CI/CD, reproducibility, observability, and rollback strategies.
- Security & compliance intuition (PII handling, privacy, model abuse vectors, auditability).
- Systems thinking: memory/latency trade-offs, cost control, graceful degradation.
- Code quality: production Python; bonus for Rust/C++ for critical paths.
Apply Now
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