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Bullish

Manager, Business Intelligence - Crypto Trading

NEW
New YorkFull-timeGlobal

💰 USD 160,000 - 220,000/yr

📊 Senior
ActivePosted within the last 30 days

Job Description

[AI-summarized by JobStash]

You will lead data strategy for crypto trading and DeFi, build and maintain quantitative models and predictive analytics, and design high-fidelity dashboards. You will mine high-volume on-chain and off-chain datasets, ensure data quality across pipelines, troubleshoot anomalies, and present clear, actionable findings to stakeholders to influence trading and treasury decisions.

Requirements

  • ●Bachelor’s or Master’s degree in Data Science Computer Science Quantitative Finance Economics or related field
  • ●7+ years of progressive experience in data science or quantitative analytics preferably within trading hedge fund or fintech
  • ●Expertise in statistical modeling time series analysis and predictive analytics applied to financial datasets
  • ●Proficiency with data visualization tools such as Tableau and Looker
  • ●Expert skills in Python including NumPy and Pandas and in SQL for complex data manipulation
  • ●Experience working with high-frequency and high-volume data and managing end-to-end data analysis projects and database architecture
  • ●Experience with BigQuery Snowflake and dbt
  • ●Strong working knowledge of cryptocurrency blockchain technology and DeFi protocols preferred
  • ●Exceptional problem-solving analytical and technical communication skills

Responsibilities

  • ●Design, develop, and maintain quantitative models and analytical tools for trading performance, capital efficiency, and P&L analysis
  • ●Apply advanced statistical and time series techniques to optimize liquidity, treasury yield, and risk exposure in proprietary trading and DeFi
  • ●Partner with Trading, Research, Risk, and Treasury Operations to deploy data-driven solutions and reporting
  • ●Design and implement dynamic real-time dashboards and visualization tools for trading metrics and risk indicators
  • ●Analyze high-volume datasets including exchange order books, on-chain transaction logs, and smart contract data to identify trends and risks
  • ●Ensure data accuracy and integrity across market and financial data pipelines
  • ●Present findings and recommendations to senior stakeholders using data storytelling

Benefits & Perks

  • ●Discretionary annual target bonus
  • ●Performance incentives

Tech Stack

machine learningquantitative modelingsmart contractsLookerTableauSQLPythonSnowflakepredictive analyticsrisk modelingproject:CoinDesk
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