Posted:3 weeks ago|
Platform:
Remote
Full Time
You’ll be the point person for sourcing, cleaning, and interpreting social-media and web-native data (X/Twitter, Reddit, TikTok, YouTube, Discord/Telegram, major news, and niche forums). Your job: identify early moves, sentiment shifts, and “virality” patterns that matter for markets—and get those insights into traders’ hands fast via dashboards, alerts, and research-ready datasets.
This is a hands-on role: you’ll pull data from APIs/brokers, structure it, label it, score it, test what actually predicts price/volume, and ship lightweight tools that the team uses daily.
Key Responsibilities· 3–6+ years in data analysis or applied analytics (content, social, growth, alt-data, or market intelligence).
· Practical NLP toolkit (regex → embeddings/classifiers); able to explain tradeoffs in simple terms.
· Experience with social-platform APIs, third-party data brokers, or ethically compliant web ingestion.
· Solid statistics for backtests and A/B-style validation; know how to avoid obvious pitfalls (look-ahead bias, survivorship, data leakage).
· Communicates crisply: turns complex evidence into one-page briefs and clear “what to do” recommendations.
Nice to Have· Markets familiarity (tickers, earnings, filings, corporate actions) and event-study workflows.
· Graph/“influence network” features, basic time-series modeling, or anomaly detection.
· Experience with columnar data and fast queries (Parquet/Delta/Iceberg; DuckDB/ClickHouse/BigQuery/Snowflake).
· Light multimodal experience (ASR/transcription, OCR for screenshots, basic image/video metadata).
Example Projects You Might Ship in Month 1–3· Higher signal-to-noise for the desk; earlier heads-up on real catalysts; measurable lift in PnL attribution to social signals.
· Clear, reproducible metrics: coverage %, freshness (latency), precision/recall for tagging, and backtest effect sizes with confidence intervals.
Deeter Investments LLP
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