Manager, Business Intelligence - Crypto Trading jobs in United States
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Bullish · 2 weeks ago

Manager, Business Intelligence - Crypto Trading

Bullish is an institutionally focused global digital asset platform that provides market infrastructure and information services. The Manager of Business Intelligence will lead the data strategy in cryptocurrency trading, focusing on building models and tools to enhance trading performance and risk modeling.

BlockchainCryptocurrencyFinancial Services
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H1B Sponsor Likelynote

Responsibilities

Drive Quantitative Insights: Design, develop, and maintain quantitative models and analytical tools to support trading performance analysis (alpha/beta attribution), capital efficiency tracking, and P&L breakdown
Develop Strategic Intelligence: Apply advanced analytical techniques and statistical modeling to optimize liquidity analysis, treasury yield potential, and risk exposure within proprietary trading and DeFi protocols
Deliver Actionable Solutions: Partner with Trading, Research, Risk, and Treasury Operations teams to understand complex business problems and rapidly deploy data-driven solutions and reporting
Build High-Fidelity Dashboards: Design and implement dynamic, real-time dashboards and visualization tools that provide instant, high-fidelity views of metrics like trading volumes, key risk indicators, and smart contract performance
Mine Complex Datasets: Conduct deep dives into high-volume datasets, including exchange order book data, on-chain transaction logs, smart contract data, and market microstructure, to identify actionable trends, risks, and optimization opportunities
Ensure Data Quality: Take ownership of data accuracy and integrity across our market and financial data pipelines, troubleshooting data anomalies and ensuring reliable reporting
Influence Strategy: Present compelling findings and well-supported recommendations to senior stakeholders, using data storytelling to drive strategic decisions in a high-stakes environment

Qualification

Statistical modelingPredictive analyticsData visualizationPythonSQLData scienceQuantitative financeCryptocurrency knowledgeBlockchain technologyAnalytical skillsProblem-solvingTechnical communication

Required

A Bachelor's or Master's degree in Data Science, Computer Science, Quantitative Finance, Economics, or a related field
7+ years of progressive experience in data science or quantitative analytics, preferably within a trading, hedge fund, or high-growth fintech environment
Demonstrated expertise in statistical modeling, time series analysis, and applying predictive analytics to financial datasets
Required proficiency with data visualization tools (Tableau/Looker) and expert skills in programming languages such as Python (with NumPy/Pandas) and SQL for complex data manipulation
Proven ability to work independently with high-frequency/high-volume data and manage end-to-end data analysis projects including database architecture, leveraging tools like BigQuer/Snowflake/dbt
Exceptional problem-solving, analytical, and technical communication skills, coupled with a bias for action in a challenging, fast-paced setting

Preferred

Strong working knowledge of cryptocurrency, blockchain technology, and decentralized finance (DeFi) protocols is highly preferred

Benefits

Discretionary annual target bonus
Performance incentives/benefits

Company

Bullish

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The Bullish digital asset exchange offers market-leading order depth and consistently tight spreads all in a regulated environment.

H1B Sponsorship

Bullish has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (1)
2023 (7)
2022 (9)

Funding

Current Stage
Growth Stage
Total Funding
$300M
2021-05-11Series Unknown· $300M

Leadership Team

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Tom Farley
CEO
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Company data provided by crunchbase